Jobs Posted on the Whova Community Board of NIPS 2017 #nips2017

Member of Research Staff

The Voleon Group
The Voleon Group is a technology-driven firm applying modern statistical machine learning techniques to systematic investment management. Information on our Co-Founder and Head of Research, Jon McAuliffe, can be found at www.voleon.com.

Our research team is growing. Recent hires include Ph.D.s, postdocs, industrial researchers and faculty, including professors Martin Wainwright and Arindam Banerjee.

As Voleon continues to grow, we are actively seeking world-class machine learning scientists, statisticians, and technical innovators to join our ranks. Join us in developing predictive models and other components of automated trading systems. You will be at the forefront of modern statistical machine learning innovation, applying novel research to large, high-dimensional data sets.

We will consider candidates who will be available anytime within the next 12 months. For more information, please see our Member of Research Staff job description.

Voleon also has a referral program that could pay you up to a $15,000 referral fee. Details can be found at www.voleon.com.

I would love to review your CV and see if it is a good match for our research efforts.

See you at NIPS this year in Long Beach!

Charles Weitzer

Senior Recruiter
The Voleon Group
charles@voleon.com
Office: +1 510 704-9870 x 7012
Mobile: +1 510 558-9182
www.voleon.com

Link: http::/www.voleon.com

Researcher

Pex
Pex built the best video and audio fingerprinting technology on the market, to revolutionize content search. To date we’ve indexed more than 7 billion videos. We’re looking for someone who can help us to make it even faster and more precise, to keep on pushing the boundaries of possibility for the music and video industry. We recently raised a $7M Seed Round. For more information about Pex, visit https://blog.pex.com.

Our Tech:
We operate a massive stack, currently using mostly C++, Go and Java, as well as Javascript and Python for frontend and data analysis.

Your responsibilities:
We’re looking for highly skilled researchers (machine learning, computer vision, digital signal processing, C++, Python) that want to work on some challenging technical problems, at scale, such as audio and video fingerprinting, indexing and matching, cover song identification, audio and video content classification, face recognition.

Perks:
We offer 30 days of paid vacation, fully covered health benefits, commuter benefits, cover costs of visiting conferences, and the opportunity to be part of a small product driven team.
Link: https://blog.pex.com

Assistant Professor

Robinson College of Business, Georgia State University
The Institute for Insight at Robinson College of Business (RCB) of Georgia State University (GSU) invites applications for one tenure track faculty in Analytics at assistant professor level, effective Fall 2018 or earlier. The Institute focuses on “big data and analytics” with a special emphasis on applications of unstructured data analytics in solving business problems. Successful candidates will have an earned doctorate and a research agenda in the analysis of big data, including its computational aspects. Of particular interest are applicants with backgrounds in Text Analytics, Machine Learning, Image Analytics and related fields and a keen interest in research addressing business problems. Successful candidates will contribute toward the College’s multi-year and multi-disciplinary strategy for developing a significant big-data analytics research program with strong links to industry, including, but not limited to, work with the Institute’s labs and projects focusing on social media intelligence, legal analytics, fintech, and operations.

Minimum requirements are an earned Ph.D. in Computer Science, Statistics, Economics, or related fields from an accredited university or international equivalent, and a strong research program in analytics. Successful candidates will have a strong trajectory of future publications in widely regarded premier journals in business and related disciplines. Ideal candidates will also have teaching capabilities to teach in the College’s MS in Analytics program as well as in college-wide interdisciplinary programs in analytics. Candidates will be expected to interact with the industry in the metro Atlanta area.

The successful candidate’s home will be in the Institute for Insight at the Robinson College of Business. The mission of the Institute for Insight is to serve as a portal into big data analytics for our broad community of students, researchers, entrepreneurs, institutions and industry partners, helping each to create and leverage insight needed to build, innovate and transform their work. Institute faculty teach and participate in research projects in the Insight Lab. More information about the Institute is available at http://insight.gsu.edu and about the MS in Analytics program at http://robinson.gsu.edu/msa/.

ABOUT THE ENVIRONMENT
GSU is a leading urban research university located in the heart of Atlanta. With more than 8,000 students and more than 200 faculty members, RCB is one of the largest and most diverse business schools in the country. The college houses the Department of Computer Information Systems and Department of Risk Management and Insurance, both of which have top-10 rankings, and Robinson’s Marketing Department ranks 4th in Modeling and Quantitative Analysis in scholarly research productivity. Robinson has active research programs in the management of information technology, predictive risk analytics, marketing analytics and health IT and analytics that are relevant to this position. Salary level, course load and additional research support are competitive at the national level.

FURTHER INFORMATION AND APPLICATION PROCEDURE

Further information about the RCB is online at http://robinson.gsu.edu/. Applicants will be required to register with http://academicjobsonline.org/ (the registration is free) and upload their curriculum vita, statements of research and teaching interests, recent publications or working papers, and evidence of teaching performance. Applicants will be required to submit their materials via the online system.

To be informed when the application system is open (expected in early December), please email the search committee co-chairs Professor Charlotte Alexander (calexander@gsu.edu) and Dr. Denish Shah (shah@gsu.edu). Any questions should also be directed to Professors Alexander and Shah.

Review of applications will begin immediately after the application system is open and applicants will be reviewed until positions are filled. Positions are contingent on University budget approval. GSU is an Equal Opportunity Educational Institution/Affirmative Action Employer.

Research Scientist

Mind Foundry is a rapidly growing spin-out from the University of Oxford Machine Learning Research Group. The company was co-founded by Professors Steve Roberts and Michael Osborne, grounded in their decades of experience in applied Machine intelligence and Machine Learning. Business are increasingly realising that success depends on the ability to unlock insights hidden in data and to operationalise this knowledge. This need is becoming more pressing as data volumes, diversity of data sources and advances in Machine Learning increase at pace. Mind Foundry is developing the next generation of machine learning software to help businesses take advantage of this data explosion. With our unique access to the latest developments in ML, we automate the selection, training and deployment of predictive models for a range of challenging industry problems at commercial and industrial scale. The company is based in central Oxford (UK) and has a secure funding base in place for rapid expansion.
We are seeking dynamic Research Scientists to join our existing research team to help us take Machine Learning into the heart of businesses and transform the way they work. You will bring your significant expertise and experience in Machine Learning to undertake research projects to enhance the capabilities of our product offering and to deliver solutions as part of client engagements.

You will have a deep understanding of Machine learning techniques and will be able to talk knowledgeably about latest developments. You will also possess particular experience with Af least one of: Gaussian Processes, Time series models, optimisation, deep learning, natural language processing. Although you have a strong academic background, you will have worked on projects applying ML to real world problems.

Deep Learning Researcher (PhD)

Tractable
THE COMPANY
Tractable is a Deep Learning start-up, founded in 2014 and backed by leading investors from the Silicon Valley ($10m funding to date). At Tractable you will be working with a tight-knit team of researchers, taking a data-driven approach to solve real-world machine learning problems with deep learning. We have a track record of taking cutting edge research and making it work for real products: we have a team of experienced reserachers, the necessary resources (in-house labelling and domain experts) and a large volume of data (100M+ images) to train our algorithms.

THE RESEARCH TEAM
Our main focus at the moment is on the auto insurance industry: we are building models that can understand the ways in and extent to which a car is damaged. As opposed to most applied DL problems, this is a visual task on which trained experts with decades of experience require ~30 seconds of thinking time to arrive at a decision.
We have currently modelled most of the external parts of a car, which is the basis of our audit product currently being used by 5+ major insurers. In addition to further improvements on these models we are now turning to combining them with metadata and even more sophisticated visual models, with the objective of further accelerating the process of vehicle damage assessment.

RESPONSIBILITIES
As a Deep Learning Researcher at Tractable, you will:
- Design, implement creative research solutions to big problems with the possibility to have significant commercial impact
- Adapt the latest developments from the lab (in domain adaptation, metric learning, multi-task learning etc.) to work in real-world settings
- Identify and prioritise research directions and adapt research processes as the company expands
- Advocate and guide strategy for design and product direction
- Mentor and advise researchers

REQUIREMENTS
- PhD in Machine Learning or related disciplines from a top research university
- Strong publishing track record (ICLR, ICML, NIPS, ICCV, etc) and proven ability to independently produce new research ideas
- 2+ years of experience using deep learning
- Proven ability of writing production-quality research code
- Experience using deep learning frameworks (tensorflow or similar)
- Excited to work in a small team and take research ideas into the real world
Link: https://tractable.recruitee.com/o/deep-learning-researcher-phd

Machine Learning Scientist

Rosetta Analytics
Rosetta Analytics is an investment management startup committed to using artificial intelligence and deep learning with traditional and nontraditional data sources to create scalable investment strategies for pension funds, endowments, foundations, and sovereign wealth funds.
The firm seeks an individual to join the machine learning team. It is a full-time position based in the firm’s White Plains, NY office. Compensation is commensurate with candidate's prospective contribution.
The candidate will:
* Develop models and algorithms utilizing state-of-the-art machine learning with specific focus on deep learning, deep reinforcement learning and related approaches
* Develop new code and extend existing research and production codebases in programming languages such as Python, Lua, and C++
* Conduct experimental validation of models and algorithms in the AWS compute environment
* Interact with the broader research and investment teams and present findings
Required Qualifications:
* Masters degree in Computer Science or related discipline, PhD preferred
* Proficiency in Deep Learning and data analytics. Experience with real world applications of Deep Learning a plus
* Proficiency in programming and implementing ideas. Experience with cloud-based programming and service environments such as AWS or Azure are a plus
* Proficiency using programming languages Python, Lua, and C++
* Proficiency in one or more Deep Learning frameworks such as Torch or TensorFlow
* Demonstrated ability to acquire and work with new software tools, programming languages, and compute environments
* Experience conducting independent work utilizing large, complex data sets a plus
* Experience with investment methodologies, financial markets and data a plus
* Ability to communicate effectively with all internal associates, including research, trading, management, development, and operations personnel
* Demonstrated ability to work in an independent but coordinated fashion to meet production schedules
A candidate’s social media profile will be used in the evaluation process.

Deep Learning Engineer/Deep Reinforcement Learning, Autonomous Driving

Volkswagen Group of America - Electronic Research Lab
Role Summary
Self-driving cars are the next major shift in human mobility – the impact of this technology will be as great as the invention of the automobile or airplanes. This is your chance to shape this trend!
The Volkswagen ERL is the VW Groups presence in the Silicon Valley. We work closely with the Audi, Porsche and VW. We have a rich history in autonomous driving. We are pioneers in this space – way back in 2007, in collaboration with Stanford we won the DARPA Challenge. Currently we work on research topics around applying deep learning and computer vision. We are also working on Traffic Jam Pilot, which in 2018 will be the first commercially available autonomous car (at Level 3).
Level 4/Level 5 autonomy however requires another leap in technology, which we believe, will be inspired by the human brain. This position will apply deep learning to the autonomous vehicle problem. This requires applying these techniques to problems in perception, segmentation, decision making and action. This is more than a purely academic role – we do not just need to solve individual problems in isolation but also think about how these various aspects will come together in a system and eventually, a product. We need to think about how such a system can be tested and how we will prove safety. You will be able to partner with researchers in top universities to understand the state of the art. The work that you do will run on servers as well as in real cars.
Required Skills
- Deep Learning – experience with CNNs, RNN, LSTMs and the latest research trends
- Machine Learning – strong fundamentals in machine learning
- CS Fundamental – strong fundamentals in data structures and algorithms
- Programming – Python, C++
Desired Skills
- Deep Reinforcement Learning strongly desired
- Shipped one or more machine learning based products. Experience with data gathering, data quality, system architecture, coding best practices
- Big Data Experience strongly preferred – Spark, Scala, Amazon AWS
- Experience with perception (e.g. computer vision), time series data (e.g. text analysis), decision making (e.g. using Reinforcement Learning)
- Experience in a regulated industry – automotive, aeronautics, medical devices etc.
- GPU Programming
- Passion for cars, physical products and building things

Data Scientist - Long term contract opportunity

Audi Tech Hub
Position Description:
Responsibilities
The Data Scientist will be responsible for the design and build of world class high-volume real-time data processing, analytic, machine learning and AI on big data platforms. He/She will research, develop, optimize, and innovate frameworks and patterns for enterprise scale data analysis and computations as part of our Big Data, Connected Car and Internet of Things initiatives.
• Work as an integrated member of the technology team and drive cross functional international Big Data initiatives from beginning to end: build relationships with partner teams and stakeholders in Germany and the US, collect, structure, and analyze data, distill and present key insights in support of decision making. Identify strategies and methodologies to measure outcomes of feature and product development
• Design and Build world class high-volume real-time data processing frameworks and advanced analytics on big data platforms.
• Create hypotheses, design experiments and test feasibility of proposed business objectives
• Experiment with new algorithms and analytical approaches and report on the impact to model performance
• Develop quantitative models that include forecasting, predicting, clustering, modeling and dimensionality reduction.
• Know how to obtain & manage a sufficient set of usable data from multiple sources, including manipulating noisy and irregular data to produce clean datasets.
• Influence development teams to implement on a flexible analytical platform
• Passionate about asking questions & using data to supply answers.
• Research, develop, optimize, and innovate frameworks, tools and patterns for enterprise scale data analysis and computations as part of our Big Data, Connected Car and Internet of Things initiatives.
• Present technology solutions to senior leadership in Germany and the US in verbal, visual, and written media and influence architecture decisions that will lead the transformation of our Connected Car analytics platform and IT overall.
• 3+ years of hands-on implementation experience working with a combination of the following technologies: Storm and Spark streaming, Kafka, Spark advanced analytics, NoSQL data warehouses such as Hbase and Cassandra, data processing frameworks like Apache Nifi, Talend, Spring XD. Advanced programming skills in Python and R
• Research the tool market, follow new research streams and build partnerships with start-ups, universities and local communities

The position requires international travelling (Germany) 3-4 times per year.

Qualifications
• B.S. or higher in Applied Math, Statistics, Computer Science or related fields
• Several years-experience preferred in predictive, optimization, and simulation models using structured and unstructured data
• Background in statistical, mathematical, and operations research modeling
• Strong analytical and quantitative problem solving ability
• Solid understanding of statistical modeling, predictive analysis, machine learning, and data mining
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• 4+ years’ programming/scripting languages Java and Scala, python, R, Pig
• 2+ years of experience of developing solutions in cloud environments (Azure, AWS etc) with focus on analytics stack.
• 2+ years of experience in big data streaming frameworks, data processing and real-time ingestion patterns.
• Experience working with and evaluating open source technologies and demonstrated ability to make objective choices
• Experience with Visualization Tools such as Tableau
• Experience with more than one data streaming technologies
• Understanding of Machine Learning skills (like Apache Mahout, Spark MLib
• Ability to work in an agile, multi skill team of top talents

Business Case:
The Data Scientist will implement algorithms and solutions for our Big Data, Connected Car and Internet of Things initiatives and help rolling them out in key markets, starting in Germany and the US. Besides that he/she will work on local AoA Big Data initiatives in very close collaboration with CODE.
He/She will design experiments, processes and models to produce evidence for a prioritized backlog of hypotheses and help to clarify the objectives to the development team directly. This position will drive prioritization of specific digital product and feature development according to the relative value to the business upon delivery.

The CODE team is partnering with Audi’s business leadership in unprecedented ways to deliver the best possible digital experiences for our customers and the best possible advantage in exceeding the overall objectives of the brand. In addition, we are building the strongest ever collaborative partnership with Audi AG in unifying our solutions, processes and digital systems.

Senior Systems Engineer / Technical Product Manager

Volkswagen Group of America - Electronic Research Lab
VW. Two letters. Endless opportunities. A bright future.
Innovation. Sophistication. Optimization. This is our Passion.

Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN.
Self-driving cars are the next major shift in human mobility – the impact of this technology will be as major as the invention of the automobile or of airplanes. This could change how people think of vehicle ownership, how cities are planned and how we organize our lives.

The Volkswagen ERL is the VW Groups presence in the Silicon Valley. We work closely with the Audi, Porsche and VW brands. We have a rich history in self driving cars. In 2007, we were industry pioneers in this space – winning the DARPA Grand Challenge with Stanford. Currently we work on applying deep learning to autonomous driving. We are also working on Traffic Jam Pilot, which will be a commercially available L3 autonomous car.

Role Summary
This role will be involved primarily in development and pre-development projects at the lab. You will come up with product requirements which involves a lot of driving to come up with requirements for self-driving car algorithms. You’ll work with teams of engineers to come up with system and module requirements and manage the execution of these projects. You could also be responsible for testing and managing the logistics for your project.

This is not a rote 9-5 job. While we value work life balance we expect you to be passionate about technology and have tons of ideas. You’ll jump at the chance to come up with the agenda, get people aligned and drive projects to completion.

Responsibilities
Main responsibility – 70% of time spent
• Develop requirements for North America specific driver assistance systems functions
• Design test procedures and organize test drives throughout US and Canada
• Analyze test results, determine root cause, and report bugs in a timely manner in the proper format
• Establish milestones, monitor progress and report status regularly and accurately
• Create and maintain supporting documents and presentations as necessary
• Identify new features for future vehicle models and conduct competitor benchmarks

Additional responsibilities – 30% of time
• Manage logistics that include (but are not limited to) vehicle transport, hardware shipment, travel etc.
• Other ERL activities including exploration of new innovations and capture of intellectual property

Qualifications
Required Skills
• Strong programming skills, strong IT background

Required Specialized Skills
• Product Definition
o Comfortable forming and articulating the big picture on where an industry is headed and creating product roadmaps
o Prior experience defining a highly technical product as a systems engineer or equivalent
o Prior experience with V-model Systems engineering
o Experience gathering and organizing requirements and writing functional specifications
o Adept at diving deep into the weeds with engineers while keeping the product vision in mind
o Ability to plan/review architectures, technical designs, test strategies, test cases etc.
• Project Management
o Experience running multiple projects simultaneously
o Usual PM stuff - manage timelines, budgets, resource planning, risk etc.
• Technical Depth
o Prior experience with robotics, unmanned systems, control systems, or camera/sensor based perception
o Be highly technical. Familiarity with data structures and algorithms, machine learning and math are required
• Leadership
o Capable of leading by influence, not authority
o Capable of getting people across levels of an organization aligned behind a common vision
o Effective public speaker – comfortable presenting complex technical information in front of technical and non-technical audiences at all levels of the organization
o Experience presenting to the press, government officials etc.
Desired
• Experience with processing large amounts of data on clusters in the cloud, GPU clusters etc.
• Experience in a regulated industries such as automotive, aerospace, medical devices etc.

Years of Experience:
• 8+ years in machine learning, 2+ years in deep learning

Education
Required: BSc Computer Science
Desired: MSc, PhD

Work Flexibility
• Up to 25% time travel throughout US and Canada
• Up to 2 trips to Germany per year
• Required: US Driver’s license with no more than 2 violation points and no DUI conviction

We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

This role description is a guideline and does not create contractual rights between the Company and any of its employees. The Company does not enter into any type of employment contract, implied or written, with its employees regarding job security

Assistant/Associate Professor

Virginia Tech
The Bradley Department of Electrical and Computer Engineering at Virginia Tech seeks applications for a tenured/tenure-track position in Computer Engineering, at the rank of Assistant or Associate Professor, specifically in the area of perception for autonomous systems, including (but not limited to) deep learning, knowledge representation & reasoning, reinforcement learning, reasoning under uncertainty, and their applications to perception in robotics and autonomy. This position is based in Blacksburg, Virginia. The successful candidate will be expected to develop and maintain a vigorous, nationally recognized, funded research program. There are rich opportunities for collaboration with existing strengths across the University. The successful candidate will also be expected to teach undergraduate and graduate courses, and participate in service and outreach activities for the Department, College, and/or University. More broadly, the successful candidate should contribute to Virginia Tech’s growing strength and leadership in Machine Learning research, education, and outreach. The successful candidate will have the opportunity to engage in transdisciplinary research, curriculum, and/or outreach initiatives with other university faculty working in the “Data and Decision Destination Area.”

Official job post: https://listings.jobs.vt.edu/postings/80062/
Link: https://listings.jobs.vt.edu/postings/80062/

Research Scientist & Research Engineer

Cogent Labs
Cogent Labs is a well funded artificial intelligence startup located in the heart of Tokyo. Our goal is to bridge the gap between academic research in deep learning and real-world business solutions. We are currently working on diverse problems including natural language processing, image understanding and financial time series.

We are a diverse company, with members coming from more than 15 different countries and our internal communication language is English. We are growing our team and looking to hire talented research scientists, research engineers, and software engineers.

Apply through https://www.cogent.co.jp/en/careers/
Link: http://www.cogent.co.jp/en/

Assistant Professor

Virginia Tech
The Department of Computer Science at Virginia Tech (www.cs.vt.edu) seeks applicants for two tenure-track assistant professor positions in data analytics. Exceptional candidates at higher ranks may also be considered.

Candidates with research depth and breadth in data analytics, data mining, machine learning, deep learning, artificial intelligence, text mining, natural language processing, information retrieval, interactive visual analytics, data visualization, high-performance analysis, social informatics, or data science are encouraged to apply. Candidates working at the intersection of data analytics and other computing or application domains---such as cyber-security, urban computing, health analytics, bioinformatics, and distributed and IoT systems---are also encouraged to apply.

Successful candidates should be able to demonstrate an interest in initiating and sustaining collaborations within computing as well as with data domain scientists. Successful candidates will have the opportunity to engage in transdisciplinary research, curriculum, and outreach initiatives with other university faculty working in the Data & Decisions destination area, one of several new university-wide initiatives at Virginia Tech (provost.vt.edu/destination-areas). Data & Decisions is focused on advancing the human condition and society with better decisions through data. Faculty collaborating in this area integrate data analytics and decision sciences across
transdisciplinary research and curriculum efforts at Virginia Tech.

Candidates with demonstrated experience in interdisciplinary teaching or research that aligns with the Data and Decisions vision (provost.vt.edu/destination-areas/da-overview/da-data.
html) are especially encouraged to apply.

Candidates must have a Ph.D. in computer science or related field at the time of appointment and a rank-appropriate record of scholarship and collaboration in computing research, broadly defined. Successful candidates should give evidence of commitment to issues of diversity in the campus community and will be expected to teach graduate and undergraduate courses, mentor graduate students, and develop a high quality research program.
Link: http://www.cs.vt.edu/files/files/DDFlyer2018.pdf

Senior Machine Learning Engineer

Flipboard
Flipboard is the world’s largest mobile curation platform. Powered by people and technology, Flipboard makes it easy to stay informed and get inspired by the stories and products that fuel your passion. We are looking for a Senior Machine Learning Engineer to help us take our product to the next level.

At Flipboard we are re-imagining how people consume news and information in the world. The Data Products group drives this forward helping users in the face of information overload; producing newsfeed content tailored to you; connecting you with other users and recommending stories, topics and magazines. Using a wide range of data-driven techniques to achieve this, drawn from machine learning, collaborative filtering, topic modelling, entity extraction, psychology and old-fashioned straight-up product design. We deal with billions of signals daily, and this means developing high-performance distributed systems at scale.

This position is based in our downtown Vancouver office.

Responsibilities

- Work with us on scaling and developing our data driven systems, ideally you have interest and abilities in both data science and engineering; as this is a hands-on role where you own the whole stack – from models to production.
- You will be working with a small team of engineers and data scientists.
- You will have your hand in a variety of projects – data collection, data analysis, algorithm development, scaling the system to tens of millions of daily active users and working with engineers across other teams in bringing our architecture forward.
- You will have substantial independence and responsibility from day one.

Requirements

- Minimum 5+ years of relevant industry experience.
- Deep programming proficiency, ideally with experience in Python, C++ and Java
- Solid background in Mathematics, Statistics and Machine Learning
- Self-starter with excellent communications skills
- Experience with implementing data-processing systems or machine learning systems at scale
- Full-stack AWS engineering experience a big plus.
Link: https://about.flipboard.com/job/senior-machine-learning-engineer/

Researcher / Senior Researcher

Technicolor
Technicolor is the largest special effects company in the world. Interested in creating and developing the next generation of technologies for entertainment?

The Technicolor AI Lab,Technicolor’s research center in the US, is looking for researchers and experienced researchers with expertise in machine learning, deep learning,AI and data analytics. The lab is focused on developing novel applications of AI and machine learning for entertainment and content consumption.Technicolor is a leading provider of technology for home entertainment, set- top boxes, augmented reality and virtual reality – and provides unique resources for an exciting research agenda.

Key Responsibilities:
▪ Develop new and innovative technologies
▪ Propose, launch, lead and execute research with peer researchers at Technicolor Research Centers,
in collaboration with academic partners (PhD students, postdocs, professors)
▪ Transfer research advances to products and maintain relationships with business divisions
▪ Contribute to developing intellectual property
▪ Publish in top conferences, maintain outstanding academic credentials and visibility

Candidate Profile:
▪ Ph.D. in Computer Science, Statistics, EE,Applied Math or other relevant discipline
▪ Strong academic track record and in-depth knowledge in one or more of the following areas:
machine learning, deep learning, AI, signal processing, data mining, optimization
▪ Strong programming skills or past success with systems building a plus
▪ Continue developing relationships with the academic community, students and professors
▪ Senior candidates must have a strong research track record as well as visibility and influence in their
academic community
▪ Experience with industry a plus
▪ Ability to perform research guided by business opportunities
Link: http://technicolorbayarea.com/

Full-Stack Research Engineers

Technicolor
The Technicolor AI Lab,Technicolor’s research center in the US, is looking for engineers and developers to develop novel applications of AI and machine learning for entertainment, next-generation solutions to create, deliver and manage digital content.

You won’t spend your time tweaking an obscure part of an ad network here. The focus of the work will be to develop proof-of-concept, prototypes and products that tie in machine learning and AI (artificial intelligence) technologies with entertainment. It will also include the development of tools and platforms to support researchers in the Palo Alto center. For example, we have developed prototypes of chatbots for home gateways, an analytics platform to optimize the production of special effects for Hollywood (Technicolor is the largest special effects company in the world), robot gateways, etc....

Skills and Qualifications:
• BS or MS in Computer Science, EE or related area.
• Extensive knowledge of server-side and scripting languages: Python, Java, Ruby, Django
• Machine learning or deep learning frameworks: PyTorch, scikit-learn,TensorFlow, ...
• Extensive knowledge in SQL, NoSQL technologies: MySQL, MongoDB
• Experience or interest in mobile application development: Android, iOS

Technicolor is the largest special effects company in the world, and a leading provider of technology for home entertainment, set-top boxes, virtual reality and augmented reality. We provide unique resources for an exciting research and development agenda.
Link: http://technicolorbayarea.com/

System Architect - Fellow or Senior Fellow Level

Advanced Micro Devices, Inc. (AMD)
AMD Research (the advanced R&D lab for AMD) is seeking a System Architect at the Fellow or Senior-Fellow level. The primary role is to drive the development of machine learning solutions into a scaled-out environment that utilizes a variety of accelerator technologies such as GPUs and FPGAs. This is an exciting and impactful role that covers hardware and software, node designs and full systems, longer-term research and product/roadmap definitions, and more.

Data Scientist

Exabel
We are looking for curious data scientists to join our team in Oslo. You will explore, build and deploy machine learning models for finding and ranking relevant information and relations from natural language sources, and make models that combine these models with observed time series.

For more information about the position, see https://exabel.com/careers

If you are interested, contact me on whova or by e-mail.
Link: https://exabel.com

Data Scientist

Deep Learning Analytics
Data Scientist

Location - Arlington VA (Rosslyn)
Salary Range - Commensurable with experience
Posted Date - November 8, 2017
Start Date - January 2, 2018

Clearance Requirements
TS/SCI clearance to support classified processing.

Deep Learning Analytics is searching for a Data Scientist to work with on a dedicated team of research scientists and engineers to develop deep learning algorithms. If you have experience with machine learning and are an innovative thinker who can bring new perspectives to our team, send us your resume.

What you will be doing

Assignments vary by task and may require you to:
Wrangle data (observed samples and labels) for use in machine learning algorithms
Wrangle and manipulate CAD models, such as common 3D vertex-face surface representations
Comply with a govt-defined ICD for inputs (data) and outputs (performance metrics and object recognition specification)
Develop machine learning systems to perform supervised and unsupervised learning
Develop a proficiency with deep learning algorithms, design considerations, and methods to overcome their limitations or constraints due to hardware or data
Export deep architectures onto a small SWAP hardware platform (such as an FPGA or GPU SoC systems)
Optimize deep architectures for performance, and implement systems to formalize and support such optimization
Supporting and enhancing any of the above in the context of the current project

Technical Skills

Communication of complex technical material (powerpoint, word, etc.)
Machine learning and deep learning in CUDA and Python (including scikit-learn, Caffe, TensorFlow, Torch7, cuDNN, etc.)
DevOps, including machine provisioning (a la vagrant, puppet, etc.)
Familiarity with the Linux command line (bash scripting)
Experience working with large, complex image datasets
Version control systems (git, etc.)
Database design and use (LMDB, MongoDB, e.g.)
Deep learning frameworks (Caffe, TF, etc.)
Validation methods

Experience Required
Level 1 and II - 1 year experience in a research project
Level III - 3 years experience with research projects
Level IV - 5 years experience with research projects

Experience Desired
Remote pair programming
Machine learning
Deep learning projects
Relevant published work (level IV and higher)

Education
Level I, II and III - a bachelor's degree in engineering and/or relevant STEM field
Level IV - minimum of Masters Degree in engineering and/or relevant STEM field

Link: https://www.deeplearninganalytics.com/jobs

Tokyo or Berkeley: Deep learning researcher and engineer

Preferred Networks
We are a growing startup in Tokyo, focusing on Autonomous Driving, Robotics, and Bio-Healthcare. We are actively developing the deep learning framework Chainer.

All positions are here: https://www.preferred-networks.jp/en/job

We recently achieved the world record of training on ImageNet in 15 minutes.
https://www.preferred-networks.jp/en/news/pr20171110

Sign up for private dinners for students.
https://goo.gl/forms/lCscwOjT6QbOM0Ew1

We offer summer internship 2018 in Tokyo. c u at our booth
Link: https://www.preferred-networks.jp/en/

Multiple Open ML/AI Researcher Opportunities at Comcast Applied AI Research

Comcast
Are you interested in inventing intelligent applications that impact millions of people on a daily basis? Do you want to invent the future of customer service and build virtual assistants and reinforcement learning solutions that interact with millions of customers in natural language and automatically find solutions to their needs?

If yes, come join the Comcast Applied AI group. We are an innovative research group within Comcast’s Technology & Product organization with offices in Washington, DC, Silicon Valley, Philadelphia, Denver and Chicago that does groundbreaking research to support the development of novel Deep Learning and Machine learning based products for Comcast’s 28+ Million consumers.

We are currently looking to grow our group with senior and junior researchers that have experience in conducting cutting-edge research in AI and Machine Learning applied to NLP, Reinforcement Learning, Anomaly Detection, Customer Service and similar domains. The ideal candidate will have experience working as a technical lead or junior researcher in an industry, government, or academic lab setting on artificial intelligence and machine learning projects.

The positions can be located in any of our locations, though Washington, DC, Philadelphia, or Sunnyvale, CA are preferred. We feature an informal, open atmosphere, and cultivate a start-up culture with the backing of a Fortune 50 company. To better serve our community, we believe the diversity of our team should reflect the diversity of our customers.

Desired Qualifications
– Master’s degree in computer science, computer engineering, mathematics, related technical discipline, or related industry experience; Ph.D. preferred.
– Experience with machine learning, deep learning, data mining, and/or statistical analysis tools and how to adapt and customize the underlying algorithms for your needs.
– Strong programming and software development skills, and familiarity with Python, Java or Scala, and SQL – Knowledge of machine learning frameworks (H20, Keras, TensorFlow, PyTorch, …) and data pipeline and preparation tools such as Spark, Pandas, and the Hadoop ecosystem.

To apply, please send a CV or resume, along with a brief statement explaining why you are interested in the position, to Jan_Neumann@cable.comcast.com.

Core Responsibilities
– Develops algorithmic solution and technical requirements of custom designs for future products and applications.
– Leads research in one or more of the following areas: Deep Learning, NLP, Reinforcement Learning, Time Series Analysis, and Large-scale Machine Learning.
– Works with other Technical Leads, Product Managers and Business Partners to lead development of prototypes that demonstrate Research work, help with Product Discovery and integrate research output into engineering code base.
– Works with various team members both within and outside Research. Ensures timely progress of work. Conducts Research in an incremental manner thereby enabling faster integration of technology into products. Able to evaluate prototype systems, write technical papers, and help with technology transfer.
– Keeps track of developments in field both in academia and in industry. Attending relevant conferences and publishing research results is encouraged.

Years of Experience
Generally, requires 7-10 years related experience after Bachelors, 5-8 years after Master’s, or 2-3 years after Ph. D. for lead positions, and at least 2-3 years related experience after Bachelors, or a recent Master’s or Ph.D. for junior research positions.
Link: http://dclabs.comcast.com/research

Postdoc at MIT - foundations of ML / data science

MIT
The new MIT Institute for Foundations of Data Science (MIFODS), funded by the National Science Foundation TRIPODS program, is announcing two competitive postdoctoral fellowships. MIFODS (atmifods.mit.edu) is an interdisciplinary entity across the Department of Mathematics, CSAIL, and the Institute for Data Systems and Society (IDSS) at MIT.

More details and the application form available at https://academicjobsonline.org/ajo/fellowship/10371
Link: mifods.mit.edu

Scientist in Machine Learning

JD.com
· Research on data-driven descriptive and predictive machine learning models from the large amount of data from JD.com to improve customer experience. Areas include but not limited to: deep learning, reinforcement learning, statistical learning, kernel method, feature selection, etc.
· Design and implement machine learning models for commercial applications.
Link: https://www.linkedin.com/company/1040979/

Scientist in Natural Language Processing

JD.com
Research and development in natural language processing (NLP), including but not limited to text classification/clustering, named entity identification, sentence boundary disambiguation, question answering, lexical semantics, machine translation, etc.
Apply NLP approaches in business and products to improve customer experience and minimize the cost for human interactions.
Link: https://www.linkedin.com/company/1040979/

Scientist in Computer Vision

JD.com
JD.com has a large variety of data for research and analyze. All products at JD.com have pictures and descriptions. Researchers in computer vision will work on object recognition, image/video processing, analysis, indexing, retrieval, classification and compression, etc.
Our researchers bring core computer vision expertise to commerce, and combine computer vision and machine learning techniques for large-scale image/video data.

Scientist in Speech Recognition

JD.com
Research and develop novel algorithms for speech recognition including acoustic models, language models, and other automatic speech recognition (ASR) related technologies.
Implement speech recognition models in JD’s AI platform (PinoAI), and English/Chinese LVCSR system.

Speech Scientist / Machine Learning Scientist

Capio, Inc.
Imagine a world where voice-enabled devices do more than simply respond to our commands. At Capio, our smart Automatic Speech Recognition (ASR) solution is built to transform human-to-machine communication into intelligent, intuitive experiences – with or without an Internet connection. We look for candidates who can contribute to further enhance Capio’s ASR technology. The high-level job description is as follows:

- PhD in Computer Science, Electrical Engineering, Computational Linguistics or related fields
- Able to read, adapt and implement ideas and algorithms from journals and papers
- Ability to solve real-world problems using cutting-edge ideas and independent research
- Extensive background in statistical probability theory, pattern recognition, text normalization, Deep Learning-based acoustic/language modeling, and advanced machine learning techniques
- Experience in natural language processing, esp. Named Entity Recognition, Intent Classification or Sentiment Analysis
- Solid programming experience in Python, Perl, Java or C/C++
- Knowledge of mainstream machine-learning and speech recognition softwares, including Tensorflow, Kaldi, CNTK, Keras, Theano, Torch and NLTK

computer vision research scientist / engineer / hacker

deepen ai inc
deepen AI is a fun and funded silicon valley AI startup working on self driving cars. we use opencv and neural networks to solve hard vision problems in images, videos, and point clouds. you will work with several other CS PhD's to write code, design, and train networks.

Faculty recruiting, Center on Frontiers of Computing Studies, Peking University

Center on Frontiers of Computing Studies
The center invites applications for tenured/tenure-track faculty positions. We are seeking applicants from all areas of Computer Science, spanning theoretical foundations, systems, software, and applications, with special interests in artificial intelligence and machine learning.
Link: idm.pku.edu.cn/notice/CFCS_job.asp

Machine Learning@Huawei Noah's Ark AI Research Lab

Huawei Noah's Ark Lab
Huawei Noah's Ark Lab (http://www.noahlab.com.hk/) has several openings for fundamental machine learning research, based on Hong Kong, Shenzhen, Beijing, and London. Interested applicants may email to li.zhenguo@huawei.com to learn more or arrange a chat at NIPS.

Machine Learning Engineer

Times Internet Limited
Work on Data Science projects that will power the Next Billion revolution in India.
Hands on coding in Python/Java or the language of your choice
Strong knowledge of production systems for big data and machine learning will help as these will be real world projects, not academic.
Link: http://timesinternet.in

Data Scientist

Times Internet Limited
Apply machine learning models to solve the biggest problems in Indian consumer internet space.
Must have solid statistical background, good business understanding and communication skills to help executives understand complex models.
Link: http://timesinternet.in

Data Scientist

AGT International
We work in various domains (computer vision, activity recognition, audio classification and much more) with direct application of machine learning tasks. It also includes a lot of freedom for data exploration – small POCs, data collection fun and seeing your algorithms running online. And we are looking for motivated and outgoing people to join our team. If you are interested, contact me and chat with me at NIPS.

Research Scientist in Machine Learning (F/M)

Philips Research, Paris, France
You are a creative and passionate researcher and you want to bring the latest innovations of ML and AI to medical applications?

Key Responsibilities
• Interact with medical professionals to determine their needs and create innovative solutions
• Design, implement and validate experimental software prototypes
• Transfer innovations from research to products

More information : https://www.careers.philips.com/professional/global/en/job/PHILUS11880/Research-Scientist-Machine-Learning

Machine Learning Scientist

Arterys
As a member of the Machine Learning team at Arterys, you will be responsible for developing novel deep learning-based approaches to automate many aspects of medicine, including radiology, disease diagnosis and preventative medicine. You’ll spend time prototyping novel algorithms, translating them into production-level code, and integrating them into our state-of-the-art cloud-based software. You’ll develop beautiful tools from messy, real-world datasets and you’ll help improve the lives of millions of patients.
Link: https://arterys.com/career/ProductDevelopment/MachineLearningScientist

Machine Learning Engineer

Arterys
As a Machine Learning Engineer at Arterys, you will play a critical role in building, monitoring, and maintaining internal tools and infrastructure used for data management, model training, performance optimization and everyday machine learning operations. You are passionate about correct, performant, maintainable code that keeps our machine learning development running with minimal downtime. You’ll develop elegant and efficient solutions to messy, real-world problems and you’ll have significant impact on the Arterys machine learning team’s ability to quickly develop and deliver effective models.
Link: https://arterys.com/career/ProductDevelopment/machine-learning-engineer

Tenure Track Faculty Position - Machine Learning

University of Florida; Gainesville, Florida USA
The Department of Computer & Information Sciences & Engineering (CISE) in the Herbert Wertheim College of Engineering (HWCOE) at the University of Florida invites applications for multiple nine-month academic, tenure-track positions at the rank of Assistant, Associate, or Full Professor with interests in research and teaching in all areas of computer and information science and engineering; areas of particular interest include Cybersercuity, Virtual Reality and Artificial Intelligence or Machine Learning.
The Department of CISE in the HWCOE at the University of Florida is a vibrant, multidisciplinary highly-collaborative environment, consistently ranked among the top departments for both graduate and undergraduate programs. Research is central to the success of the program; and new faculty will be expected to initiate and sustain strong sponsored research and graduate training programs.
The successful candidate is expected to have a doctoral degree in computer and information science and engineering or a related field is required at the time of hiring. In addition, the candidate should have a record of successful proposal writing, mentoring, and classroom teaching of undergraduate and graduate students.

http://explore.jobs.ufl.edu/cw/en-us/job/503301/astasofull-prof

———————————-
Why work at the University of Florida?
* College town in hurricane-resistant North Central Florida * Subtropical climate – no snow! * An hour and a half drive to EITHER coast (Gulf or Atlantic), and only a couple of hours away from Disney & other Orlando attractions. * Multiple freshwater springs nearby for swimming / canoing / tubing / diving. * AFFORDABLE HOUSING! * Great place to raise a family
*High School magnet, Cambridge (Gainesville HS), and IB (Eastside HS) programs; Buchholtz HS Math Team * Growing craft beer scene (multiple breweries in-town) and a lively downtown close to campus.
* Local music scene produced Bo Diddley, Tom Petty, Sister Hazel, and two members of the Eagles. * Florida's flagship university, ranked #9 in Top Public Schools by U.S. News & World Report (tied with UCSD). * Diverse campus; faculty and students from around the world.
* Highest ranked computer science program in Florida.
* HiPerGator supercomputer (on the top500 list); most powerful in the state. * Sport: Gators are past national champions in Football, Basketball, Track and Field, Women's Gymnastics, Women's Tennis, etc… * Killer feature: campus features a lake with live alligators.

Questions? Contact the department chair, Juan E. Gilbert
Link: http://explore.jobs.ufl.edu/cw/en-us/job/503301/astasofull-prof

Software Engineer -Interpretation & Prediction

Autonomous Intelligent Driving Gmb
We’re on a mission to shape the future of urban autonomous vehicles and we’re looking for like-minded people like you; innovators, creators, pioneers and ground-breakers to join our outstanding engineering team and help us to build the technology that will make self-driving vehicles and the future of autonomous mobility a reality. AID GmbH is an exciting and dynamic start-up, backed by Audi AG, and our technology will enable level 5 autonomy across the Volkswagen Group.

About the Team

As a Software Developer in the Interpretation and Prediction team you will contribute to the understanding and prediction of the future appearance of the urban scenes surrounding the autonomous driving vehicle. With your strong background in probabilistic methods you will implement the interpretation and prediction for a ready for a series production autonomous driving vehicle. The evaluation of existing approaches will be as well part of your work as the software development itself and the verification of the algorithm performance.

REQUIREMENTS

Proven experience in C++ programming, ideally as well CUDA /parallel programming
Professional experience in advanced driver assistant systems, autonomous systems or mobile robotics (e.g. in the sectors of automotive, space and aviation, driverless transportation systems or similar)
Deep experience in neural networks/ deep learning and artificial intelligence
High commitment, motivation and initiative
Fluent in spoken and written English
Proficient understanding of code versioning tools (Git, SVN)
MSc/PhD in Robotics, Electrical Engineering, Computer Science/Graphics, applied Mathematics or equivalent
Experience with probabilistic robotics
Handling of conditional probabilities in any kind of probabilistic filtering
Kalman filtering (KF, EKF, UKF)
Particle filtering (mostly used in localization context)
Fusion of raw sensor data (perception background)
Fusion of high level features with different sources (could e.g. be localization related)
SLAM
Experience with machine learning
Convolutional Neural networks (CNN)
Recurrent neural networks (RNN)
Long -Short Term Memory neural networks (LSTM)
Baysian networks
Deep learning (DL)
Experience with prototypical hardware systems best driver assistance systems, automotive
Link: https://aid-jobs.workable.com/j/1A5FD005B8

AI researcher for Game indurstry

NETEASE
Applying AI tech to game indurstry. Visiting our website for details.
Link: http://fuxi.163.com/m/

Data Scientist - eCommerce

Loblaw Digital
Loblaws is a Canadian retail chain with over 2000 stores in Canada. Loblaw Digital is our digital branch that focuses on creating e-commerce and omni-channel shopping experiences for online grocery (Click & Collect), pharmacy (Shoppers Drug Mart), apparels (Joe Fresh), and more.

We are based in Toronto, Ontario. We speak Java and Python. We love Spark, TensorFlow, and XGBoost. We are embracing GCP and Azure. We crunch data as our life. If you share the same passion of improving how we live through data and AI, let’s talk!

Research Scientist

DeepWise
DEEPWISE TECHNOLOGY CO.LTD is an AI company which works on medical image analysis and its applications. The company is located at Zhongguancun technology hub, Beijing and AI Town, Hangzhou, China. Our team is composed of the PhDs and researchers from top-level universities and industrial companies.
Our company is founded by one of the co-founders of Baidu, the VP of Siemens Healthineers (China), and the GM of location based data and search department in Alibaba Group. We also have built a long-term cooperation relationship with multiple well-known medical institutes such as Peking Union Medical College Hospital and Peking University First Hospital. DEEPWISE TECHNOLOGY CO.LTD is growing rapidly and looking forward you joining our team.
• You should an expertise on deep learning technologies and computer vision especially on designing and training deep convolutional neural networks for real-world applications (e.g. object detection).
• A dedication to build and optimize the deep learning models for medical image analysis in the real-world applications.
• Experience with prior research on conducting experiments and publishing scientific papers.
• Experience with at least one of the deep learning frameworks: Tensorflow, Caffe, PyTorch, Theano.

Research Scientist Intern – PhD (London)

Spotify
We are looking for Research Scientist Interns for Spotify’s User Engagement organization. User Engagement is a high impact team that is building the next generation technologies aimed at making every user interaction with Spotify amazing through personalization and discovery. Our goal is to deliver the right content to the right user at the right time in order to maximize engagement.

We’re looking for talented research interns who have applied experience in the field of Machine Learning, Machine Intelligence, User Behavioral Analysis, IR, NLP, and more broadly, AI. You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at or above the state of the art and, in the process, redefine the state of the art for the field and contributing to the wider research community by publishing papers. As such, our team has strong ties internally to product groups as well as externally to the research community.

The User Engagement team works on some of Spotify’s key features – personalized playlists such as Discover Weekly and Daily Mix, the Home view, and Search. Our projects are intended to take on some of technology’s greatest challenges and make impact on millions of users. Some of the challenges our team is working on include developing terascale solutions for understanding and interpreting user interaction signals, understanding user success with short term & long term metrics, developing algorithmically curated playlists and other challenges in machine learning and user understanding.
Link: https://www.spotifyjobs.com/job/research-scientist-intern-phd-ocwu6fws/

Deep Learning researcher for autonomous driving

Bosch Center for Artificial Intelligence (BCAI), Robert Bosch GmbH
Bosch is one of the largest suppliers of automotive sensors, and the newly founded Bosch Center for Artificial Intelligence (BCAI) offers the perfect environment for researchers to develop novel machine learning concepts that fully utilize the wide range of sensory information to be used in autonomous vehicles.
Renningen, near Stuttgart, is the new hub of the Bosch Group’s global research and advance engineering activities. Here around 1,600 employees from the center for research and advance engineering will develop new materials, methods, and technologies, along with new systems, components, and production processes.

Your responsibilities:

· Development of deep recurrent neural networks (DeepRNNs) for environmental modeling and situation understanding in highly automated / autonomous driving
· Implementation of efficient algorithms for behavior prediction in real time
· Further development of existing approaches, e.g. uncertainty handling, hybrid models
· Original research, theoretical investigations, publications at top Machine Learning conferences and journals
· Close contact to the scientific community in Deep RNNs, scouting and assessment of new approaches, publications on top conferences and journals
· Technical discussions and creation of new ideas within the existing Machine Learning research team
· Supervision of Master and PhD students

Your expertise:

· PhD in Deep Learning with excellent publication record
· Proven programming skills, in particular Python and one of Theano/Keras/TensorFlow
· Experience in development and implementation of state-of-the-art DL technologies, experience with graphical models is a plus
· Broad knowledge of machine learning algorithms and principles as well as probability theory
· Experience with real-world applicationsReinforcement learning researcher for autonomous drivingStrong teamplayer, motivation and ability to define personal research roadmap
· Strong English skills, motivation to work in an interdisciplinary and international team
Link: http://www.bosch-ai.com/

Reinforcement learning researcher for autonomous driving

Bosch Center for Artificial Intelligence (BCAI), Robert Bosch GmbH
Bosch is one of the largest suppliers of automotive sensors, and the newly founded Bosch Center for Artificial Intelligence (BCAI) offers the perfect environment for researchers to develop novel machine learning concepts that fully utilize the wide range of sensory information to be used in autonomous vehicles.

Renningen, near Stuttgart, is the new hub of the Bosch Group’s global research and advance engineering activities. Here around 1,600 employees from the center for research and advance engineering will develop new materials, methods, and technologies, along with new systems, components, and production processes.

Your responsibilities:

· Development and implementation of novel reinforcement (RL) and inverse reinforcement learning (IRL) algorithms, in particular in the context of situation understanding and decision making for highly automated / autonomous driving
· Original research, theoretical investigations, publications at top Machine Learning conferences and journals
· Close contact to the scientific community in RL, scouting and assessment of new approaches, publications on top conferences and journals
· Technical discussions and creation of new ideas within the existing Machine Learning research team
· Supervision of Master and PhD students

Your expertise:

· PhD in Deep Learning with excellent publication record
· Proven programming skills, in particular Python and one of Theano/Keras/TensorFlow
· Experience in development and implementation of state-of-the-art DL technologies, experience with graphical models is a plus
· Broad knowledge of machine learning algorithms and principles as well as probability theory
· Experience with real-world applications
· Strong teamplayer, motivation and ability to define personal research roadmap
· Strong English skills, motivation to work in an interdisciplinary and international team
Link: http://www.bosch-ai.com/

Machine Learning Experts

Tobii
Tobii Tech focuses on integrating Tobii’s core eye tracking technology into VR, laptops, PC games, medical image processing, AR, cars, industrial vehicles, and many more products, and also delivers the technology to the other Tobii Business Units. If you want to be part of pioneers that take gaze control to new, exciting mass markets, we may have just the job for you!

Machine learning plays an essential role in eye tracking technology and mass market applications pose extremely challenging requirements.

We are looking for driven machine learning experts to join our mission and tackle these challenges.

Get more information about the position and how to apply at https://www.tobii.com/group/careers/job-hub/experienced-machine-learning-engineer/

Note that there are several other open positions in the computer vision domain. Have a look at the Tobii Job Hub https://www.tobii.com/group/careers/job-hub/

We are at NIPS and in case you have any questions about the position, about Tobii or eye-tracking in general drop us a mail at krister.jacobsson@tobii.com and we’ll try to arrange a meeting with you during the week.

Link: https://www.tobii.com/group/careers/job-hub/experienced-machine-learning-engineer/

Machine Learning Research Scientist

Butterfly Network
We’ve built a strong research group and are looking for talented Research Scientists with applied experience in the fields of Computer Vision and Machine Learning to join us. This role is best suited for machine learning scientists with strong publication records who are interested in continuing to develop new machine learning algorithms while also having a direct and immense, real-world impact.
Link: http://www.butterflynetwork.com

Data Scientist (Boston, London)

QuantumBlack (McKinsey)
Your Experience

You will bring an exceptional academic background in a technical field combined with experience in developing and applying data science methods in a business context. You share our curiosity for new methods and technologies, and our enthusiasm for data science challenges. You are able to communicate complex analytics concepts in a clear and concise manner to senior leaders.

What You'll Do

Help to drive the analytical scope and method for projects, including formulating and shaping the models
Use Math, Stats and Machine learning to derive key insights across various industry sectors including sports, pharma, automotive and high-tech.
Write highly optimized code to advance our internal Data Science toolbox
Develop world-class data science products for clients as well as for our data science team
Work on complex data sets from some of the world’s largest organizations
Work in a multi-disciplinary environment mixing highly skilled people in data science, data engineering and design
Perhaps most importantly, you will work in one of the largest and most talented data science teams spread across London, Boston and Sydney
Build strong links with the academic world and constantly share ideas and stay ahead of the curve on the latest methods

Requirements

Experience in statistical modelling, machine learning and deep learning
Experience in applying data science methods to business problems a plus
Programming experience in at least 2 of the following language: R, Python, Scala, SQL
Educated to an MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics or Mathematics
Strong presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Team leadership, mentoring and project management skills
Knowledge of distributed computing or NoSQL technologies is a bonus

Link: https://www.quantumblack.com/careers/

Data Scientist

SparkCognition
SparkCognition is looking for innovative Data Scientists to join our team to help create the next generation of analytics and artificial intelligence solutions. At SparkCognition, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value in the Industrial IoT, Finance, and Defense spaces.

Responsibilities

Building models to solve specific problems. This includes, but is not limited to:

Processing, cleansing, and verifying the integrity of data used for analysis
Feature engineering using various techniques for the enhancement of data
Performing feature selection on original and generated data
Using machine learning tools to develop and train models
Performing efficacy testing of the models

Building automated tools that enable data scientists to more effectively perform tasks such as data cleaning, feature generation, feature selection, or model building
Performing ad-hoc analysis and presenting results in a clear manner
Working with a team to help solve new, never-before-solved challenges across multiple industries
Link: https://sparkcognition.com/careers/

Machine Learning Engineer

QuantumBlack (McKinsey)
Description

Right now, you’re a very strong software engineer with a deep interest in Analytics and Data Science. You know how to engineer beautiful code and want to work on varied data science projects across multiple industries. You’re exceptionally talented, and looking to work in a highly collaborative and cross-functional team consisting of Data Scientists, Data Architects, and Engineers. You are someone who is looking to constantly develop your skills and adapt to new languages, trends and frameworks.

What you'll do

Work closely with Data Engineers and Data Scientists to create analytical variables, metrics, and models
Work closely with data scientists to solve difficult engineering and machine learning problems and produce high-quality code
Choose and use the right analytical libraries, programming languages, and frameworks for each task
Develop your abilities and understanding of data science methodologies and approaches
Contribute to best coding and engineering practice across QuantumBlack and our projects
Refactor code into reusable libraries, APIs, and tools

Requirements

Deep and passionate knowledge of software engineering principles, practices
Proven knowledge of object-oriented programming e.g. Scala, Java, C++ etc.
Knowledge of at least one scripting language e.g. Python, Perl, R etc.
Deep knowledge of testing frameworks and libraries
Good knowledge of database management languages e.g. SQL, PostgreSQL
Knowledge of statistics, machine learning and data analytics techniques
Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential
Commercial application of data science work is desired but not essential
Link: https://www.quantumblack.com/careers/

Senior Research Engineer

Netflix
The Localization Core Services team is seeking a passionate and talented machine learning expert with a strong background in digital signal processing, machine learning technologies. In this role, you will investigate, conceptualize, design, implement, and validate new algorithms that will help get our content localized in shorter time and good quality.

End-to-end multi languages speech synthesis by neural networks

Build tools for Emotion Detection, Lip Sync Detection

Machine Learning Specialist

Corti
Is the world of machine learning methodologies like a playground to you? Are you the one that can push the frontier on natural language understanding? And are you the person that will not hesitate until you see proper convergence? Then we would love to talk to you!

You could spend your life working on insignificant products for unimportant problems, like most people do, or, you could choose to come aboard and help us build one of the most ambitious machine learning platforms, that will deliver critical decision support to people making hard decisions in situations when time is of essence and stakes are high.

Corti is a super ambitious well-funded Copenhagen based AI startup, working on augmenting human-to-human interactions through speech recognition and natural language understanding. Our team is among the best in Europe, and you’ll become an integral part of a fun, autonomous and team-oriented culture, guided by shared values, high quality and a willingness to act and fail.

Check out the link or get in touch for more info!
Link: http://jobs.corti.ai/o/machine-learning-specialist-copenhagen

RESEARCH SCIENTIST - MACHINE LEARNING & AI - Berlin

Zalando
THE OPPORTUNITY

Zalando Research (http://research.zalando.com/) sets the course for re-imagining fashion for the good of all. We're Zalando’s incubator for bold scientific experimentation. Machine Learning and AI are our research fields. That comprises today's most exciting research topics, such as Deep Learning, Computer Vision and Natural Language Processing, Large Scale Bayesian Inference, Reinforcement Learning, Causality.

If you are an expert in one of these fields with an impressive publication record, if you are interested in doing academic research in a fascinating corporate environment then come join us and use your scientific background to drive Zalando-scale innovation!

Zalando Research is one of the most collaborative places you can imagine. Partnerships begin within our own teams, with all key engineering and product teams, and with the international scientific community beyond Zalando. We stretch the limits of theory and apply novel ideas in practice and we experiment. We strongly encourage our team members to stay on top of the academic progress, seek patents, and publish research results whenever possible.

WHAT WE ARE LOOKING FOR

PhD (or comparable) degree in Machine Learning, NLP, Computer Vision, Data Mining, or similar
3-5 years of proven experience in academic research or comparable research environment
Deep understanding of theory behind state of the art Machine Learning methods in your domain, broad overview of Machine Learning methods, as well as knowing best practices in their application
Strong publication record in top-tier research conferences and journals
Experience as a speaker at scientific conferences or public scientific meetups
Proven experience in leading Machine Learning research projects in a postdoc position
Software engineering skills for prototypic development and implementation of experimental setups
Experience with relevant scientific software packages (Python, TensorFlow, Theano, Torch, Caffe, R, Matlab/Octave,…)
Effective communication skills and ability to understand business requirements along with fluency in English
Team spirit as well as the ability to execute independently

ADDITIONAL PREFERRED SKILLS

Experience in modern software development techniques, version control and deployment tools, databases/SQL, programming languages (e.g. Java), Big Data and HPC frameworks
Experience as organiser or chair of scientific meetups, workshops, and conference sessions
Experience as reviewer of scientific publications

WHAT YOU CAN EXPECT FROM US

Community. Tech culture of trust and empowerment, open source commitment, meetups, game nights, +100 internal technical and fun guilds, tech talks, product demos, Coderdojos, parties and events.

Perks. Competitive salary, 40% Zalando shopping discount, discounts from external partners, public transport discounts, relocation assistance for internationals, free drinks and fruits, hardware of your choice.

Development. Tour of Mastery, extensive onboarding, personal branding support, opportunity to attend and speak at data science conferences and Meetups, and encouragement to publish work.

Work Environment. Self-organized, autonomous teams and flexible working hours.

Scale. Unparalleled levels of data and opportunities. At Zalando the algorithms and methods you research and develop can impact millions of people.

Want to join us? Then go ahead and apply!

Please make sure your application (CV and/or Cover Letter) is written in English. If you have any questions about our hiring process, please contact our recruiter - Alicja Notowska.
Link: https://jobs.zalando.com/jobs/690125-research-scientist-machine-learning-ai/

Research Intern

NEC Labs
LOCATION: Princeton, NJ

DEPARTMENT: Machine Learning

DESCRIPTION

The Machine Learning Department of NEC Labs America invites applications for summer and fall 2018 internships. We have research projects covering many areas of machine learning. The internship will involve research and development of novel machine learning algorithms with applications in image/video analysis, natural language processing, and big data analytics. Our internships normally result in high-quality publications. Minimum duration of the internships are usually 3 months and the exact dates are flexible. We encourage students currently enrolled in PhD/MSc program in computer science, statistics, electrical engineering, or equivalent. However, undergraduates with ML research background are welcome to apply. Strong programming and collaboration skills are required.

The Machine Learning group (located at Princeton, NJ) conducts research on various aspects of machine intelligence and reasoning, from the exploration of new algorithms to applications in computer vision and semantic comprehension. Our researchers have extensive expertise in theoretical and application aspects of machine learning, as well as in the development of parallel algorithms for large-scale data analysis. Ongoing projects focus on text understanding, question answering, video analysis, information retrieval, deep learning systems, and deep reinforcement learning, among others. Previous intern projects have been published in NIPS, AAAI, KDD, AISTATS & ICLR within the past year. Please contact our researchers at NIPS for additional information.

Application Link: https://www.appone.com/MainInfoReq.asp?R_ID=1785864&B_ID=83 (or search at http://www.nec-labs.com)
Link: https://www.appone.com/MainInfoReq.asp?R_ID=1785864&B_ID=83

Machine Learning Engineer

HeartVista
HeartVista develops a state-of-the-art software platform for MRI (Magnetic Resonance Imaging) machines that generates images in real time and enables autonomous medical imaging. Our innovative platform reimagines the entire MRI software stack, including custom pulse sequences, complex reconstruction algorithms, and machine-aided image processing.

In this role, the successful applicant will: ● Build state-of-the-art machine-learning models that assist the user in collecting and analyzing MRI data
● Develop strategies for working with a large and growing database of clinical medical image data
● Implement reusable abstractions for applying machine learning to MRI data collection and analysis
● Validate and optimize models and their parameters, including error estimation
● Identify new opportunities for applying learning techniques within our unique platform
● Collaborate with clinicians and MR technicians to solve clinical and usability challenges
● Interact with customers and external researchers via presentations and publications
Link: http://www.heartvista.com/

Data Analyst

Whova
Whova has supported over 6,000 events in 83 countries and have benefited millions of event attendees. We've been growing at 2-5x every year and expanding rapidly.

The Whova app has the highest ratings among all the event apps in both the App Store and Google Play and has won Event Technology Awards in 2016 and 2017. Besides the app, Whova provides all-in-one event management software including online registration and various event management tools.

Whova spun off from a top research group at UC San Diego in 2013 and is backed by venture capital in Silicon Valley. The founding team consists of successful serial entrepreneurs who have experiences in building successful companies.

We are looking for talented data analysts who will help get insights from data in order to improve our products, marketing and sales.
Link: https://whova.com

Systems/Data Infrastructure Engineer

Bay Labs
Bay Labs is at the forefront of bringing deep learning advances to critical healthcare problems. We have assembled an exceptional team of clinicians, engineers, and scientists who are developing breakthrough technologies in cardiovascular imaging.
As a Systems/Data Infrastructure Engineer, you will be a core member of the Bay Labs engineering team responsible for making our software work efficiently across platforms, improving our data pipelines and running our cloud-based infrastructure.
Link: https://baylabs.io/careers/#!/b5ae67de-5208-4072-8408-5170c9342f86?source=nips

Experienced Backend Software Engineer

Bay Labs
Bay Labs is at the forefront of bringing deep learning advances to critical healthcare problems. We have assembled an exceptional team of clinicians, engineers, and scientists who are developing breakthrough technologies in cardiovascular imaging.
As a Backend Engineer, you will be a core member of the Bay Labs engineering team responsible for backend development and deployment of our products and services.
Link: https://baylabs.io/careers/#!/7efd1ccd-02d8-46af-afb2-713a3d5ec404?source=nips

DevOps/Infrastructure Engineer

Bay Labs
Bay Labs is at the forefront of bringing deep learning advances to critical healthcare problems. We have assembled an exceptional team of clinicians, engineers, and scientists who are developing breakthrough technologies in cardiovascular imaging.
As a DevOps/Infrastructure Engineer, you will be a core member of the Bay Labs engineering team, leading the development and administration of our computing cluster, software stack, continuous integration, and cloud-based infrastructure.
Link: https://baylabs.io/careers/#!/5f7440a5-00e8-411a-9803-8710134b3dbb?source=nips

Experienced Deep Learning Engineer

Bay Labs
Bay Labs is at the forefront of bringing deep learning advances to critical healthcare problems. We have assembled an exceptional team of clinicians, engineers, and scientists who are developing breakthrough technologies in cardiovascular imaging.
We are looking for a versatile engineer with experience in scientifically developing, benchmarking, and validating a wide variety of deep neural network architectures for the purpose of extracting clinically-relevant knowledge from medical images.
Link: https://baylabs.io/careers/#!/c3ac8da0-0b48-4e2e-876f-698406c5ddb0?source=nips

Software QA Engineer

Bay Labs
Bay Labs is at the forefront of bringing deep learning advances to critical healthcare problems. We have assembled an exceptional team of clinicians, engineers, and scientists who are developing breakthrough technologies in cardiovascular imaging.
As a Software QA Engineer. you will work hands-on to introduce advanced test methods & techniques, improve test design and execution, and expand ongoing automation efforts with the total focus on product quality.
Link: https://baylabs.io/careers/#!/661e928d-6016-4b4f-89d4-8fbf400964a6?source=nips

Machine Learning Researcher for Self Driving Taxis

nuTonomy
nuTonomy is seeking a highly talented Machine Learning Research Scientist in Santa Monica, CA to support a variety of teams and projects, including the following:
- Develop an ‘active learning’ feedback loop for our DL / ML systems.
- Mine driving logs for anomalies & corner cases. -Perform meta analysis of log data to identify problem areas and improvement opportunities.
- Develop metrics to quantify component and system level performance.

Please check out http://www.nutonomy.com/careers/ for more details and other job openings.
Link: http://www.nutonomy.com/careers/#862615

Senior Data Scientist

tronc, inc
We are looking for a data scientist to join the data science and engineering team at tronc, Inc. in
our Los Angeles office.

The team’s mission is to build data solutions to serve the broad set of
digital properties owned by tronc including brands like the LA Times, Chicago Tribune, New
York Daily News, Baltimore Sun, and others

Projects You Might Work
-Personalization and audience modeling
-Content classification and understanding
-Subscriber acquisition and retention
-Digital advertising
Link: https://careers-tronc.icims.com/jobs/46285/sr-data-scientist/job

AI experts for mobile division of Samsung Elextronics (HQ, South Korea)

Mobile division of Samsung Electronics
Join us to develop the features for Bixby, intelligent assistant.
We are honor to look for research scientists, engineer who have experiences and knowledges of AI fields.

- Machine Learning, NLU, Speech, Big Data,
Recommendation, Searching, Vision

- Ph.D or Masters in CS, EE, Math, Statistics or related fields.
- Academic and/or industry experiences at lease 5 years.

※ we are ready to greeting you at NIPS, Please message me to solve your curiosity.

Senior Machine Learning Engineer

Resurgo Genetics
We are looking for a highly motivated individual with exceptional academics and proven industrial experience of ML engineering. Join a UK startup that has enormous potential - applying deep learning to a new view of biology to bring about novel therapies.
Link: www.resurgo.com

Senior ML Engineer (Vancouver)

Flipboard
At Flipboard we are re-imagining how people consume news and information in the world. The Data Products group drives this forward helping users in the face of information overload; producing newsfeed content tailored to you; connecting you with other users and recommending stories, topics and magazines. Using a wide range of data-driven techniques to achieve this, drawn from machine learning, collaborative filtering, topic modelling, entity extraction, psychology and old-fashioned straight-up product design. We deal with billions of signals daily, and this means developing high-performance distributed systems at scale.

Responsibilities

Work with us on scaling and developing our data driven systems, ideally you have interest and abilities in both data science and engineering; as this is a hands-on role where you own the whole stack – from models to production.

You will be working with a small team of engineers and data scientists.

You will have your hand in a variety of projects – data collection, data analysis, algorithm development, scaling the system to tens of millions of daily active users and working with engineers across other teams in bringing our architecture forward.

You will have substantial independence and responsibility from day one.

Requirements

Minimum 5+ years of relevant industry experience.

Deep programming proficiency, ideally with experience in Python, C++ and Java
Solid background in Mathematics, Statistics and Machine Learning

Self-starter with excellent communications skills

Experience with implementing data-processing systems or machine learning systems at scale

Full-stack AWS engineering experience a big plus.

Benefits & Perks

Our CEO Mike McCue is a creative visionary experienced at building innovative products and companies.
Our benefits include vision, dental, life, health insurance, “Employee and Family Assistance Program” plus eligibility to participate in our pension plan with an employer match.

Flexible hours and generous ‘out of office time’ for holidays, vacations, sick leave, relaxation & wellness, personal and family needs.

Team celebrations: company anniversaries, birthdays, Thanksgiving, weddings/babies‐‐you name it, we celebrate it!

We are an equal opportunity employer and value diversity and inclusion at our company.

Research Scientist

Shift Technology (Paris)
At Shift Technology we are proud to have a purpose: to help insurers fight fraud. Our SaaS solution has been used to unravel fraud networks across Asia, Europe and the Americas. The next step is automated claim processing. We use AI in every step of a claim process, to reduce the end-to-end handling time from weeks to minutes.

We are looking for candidates with a PhD in a math related field, experience with OCR, Image Processing or NLP is a plus.
Link: www.shift-technology.com

Research Associate

Department of Radiology, Stanford University
We are seeking a talented individual with a background in high-performance computing, data science, or deep learning for a research associate position in our multidisciplinary team. Our advanced pediatric MRI research program spans across novel developments in hardware, pulse sequences, algorithms, image reconstruction methods, and image analysis techniques, all with an integrated clinical translational component. Efforts bridge across multiple departments on the Stanford University campus and UC Berkeley, as well as with Silicon Valley companies. The position offers the opportunity to work with multiple faculty, post-doctoral scholars, graduate students, and undergraduates. Responsibilities include developing novel techniques, contributing to grant proposals, writing and submitting manuscripts, and developing intellectual property.

For more information on people and projects, please see: http://bodymri.stanford.edu/ResearchAssociateApplication
Link: http://bodymri.stanford.edu/ResearchAssociateApplication

Machine Learning for QA

MoQuality
ML Job

MoQuality is using reinforcement learning to develop our AI which automates mobile QA for apps and games. We are interested in individuals with broad knowledge and experience in developing and evaluating various RL architectures and algorithms. As an RL engineer you will be uniquely positioned to apply your knowledge to practical and real world problems. We don’t do simulations, all our research goes into production and immediately to our customers. You will be involved in all stages of algorithm development from inception and initial implementation to evaluation and all the way to a deployable production quality system.
 Requirements: • Ph.D. in computer science, enginyeering, or a related field; or advanced degree and equivalent industry experience. (We also consider exceptional applicants with other backgrounds.) • Good programming skills with Python, additional knowledge building web frameworks is a plus. • Excellent communication skills. You will get to showcase your work on our blogs and publications.  Recommended: • Enthusiasm to work on practical problems. • Experience with software development tools, source control, issue tracking, continuous integration.   MoQuality is a Techstars backed startup based in Atlanta, GA. The company is backed by investors from California, Atlanta, Pittsburgh and Austin. The following full-time position is available immediately. We allow our employees to work from home or one of our offices in Atlanta or SF.

Link: http://www.moquality.com

Data Scientist/Senior Data Scientist

OpenX
OpenX handles tens of billions of requests per day, and we're looking for another data scientist to join our team! You'd be pulling data, training models, evaluating models, deploying models to production, running experiments, evaluating experiments, and communicating results. Shocking, I know.

The company has an amazingly friendly and social culture, along with all the standard tech perks (cold brew, games, catered lunches). If you have any questions, shoot me a message!
Link: http://www.openx.com

Machine Learning Engineer

Sourceress
Sourceress is an AI recruiter that is reinventing how people find jobs. With tailor-made machine learning models, we rigorously define what a company is looking for in a role, identify great candidates, and engage candidates with highly personalized introductions.

We grew revenue 10x over 3 months during Y Combinator and are expanding to markets across the United States. We recently raised $3.5M from Lightspeed Venture Partners and OpenAI researchers. Our customers include big-name startups like Square, Cruise Automation, and PlanGrid.

We’re still a small team of 9, and we’re looking to grow our team with thoughtful, impact-driven people. We’re from MIT, Northwestern, and Duke, and previously worked at Google, Dropbox, Addepar.

We have a long list of interesting machine learning problems that are core to our product. Here are just a few of the challenges we face:

Creating general purpose learning and training methods for our personality traits and role heuristics
Developing machine learning model evaluation and performance tracking
Building experimental infrastructure to allow people to run models across everyone in the world very quickly
Requirements:

Experience building non-trivial machine learning applications
Strong software engineering background (3+ years of experience)
Appreciates our values—empathetic, thoughtful, and impact-driven
Our stack: Python, AWS, Lambda, PostgreSQL, React

Help us create a world where all 7 billion people work at jobs that they love, do things that they’re great at, and work for companies that are solving meaningful problems.
Link: https://www.sourceress.com/jobs/machine-learning-engineer

Machine Learning Engineer

https://careers.walmart.com
As a machine learning engineer with Walmart Technology, you will play a key role in leveraging the massive scale of Walmart’s internal data and computational resources to create a new standard for customer service and operational efficiency. Major areas of focus will include
* developing ETL pipelines to efficiently sample and represent large volumes of data and transfer between warehousing and modeling environments
* training, validating, and evaluating models using a variety of enterprise, open source, and internally developed libraries and frameworks
* building production-grade micro-services that serve successful models to provide measureable business value
* interacting with the machine learning engineering and research communities to stay current with state of the art methods
* presenting projects at meetups, conferences, and other events to further build the Walmart Technology brand
* location：Austin，TX
Link: https://careers.walmart.com

Deep Learning Engineer

Poly
We build autonomous stores.
DL is front and center in what we do, you’ll fit right in.
Best of CES 2017 and 2018
Link: Http://poly.ai

computer vision interns and research engineer

deepen AI Inc
deepen is a funded silicon valley startup in the self driving car space. we are looking for summer interns and full time research scientist in computer vision. we work on images, videos, and point clouds. we use opencv, pcl, and multiple deep learning frameworks.

Research Engineer for AI-based autonomous driving

Bosch Center for Artificial Intelligence (BCAI), Robert Bosch GmbH
Bosch is one of the largest suppliers of automotive sensors, and the newly founded Bosch Center for Artificial Intelligence (BCAI) offers the perfect environment for researchers to develop novel machine learning concepts that fully utilize the wide range of sensory information to be used in autonomous vehicles.

Renningen, near Stuttgart, is the new hub of the Bosch Group’s global research and advance engineering activities. Here around 1,600 employees from the center for research and advance engineering will develop new materials, methods, and technologies, along with new systems, components, and production processes.

Your responsibilities:

· Development, implementation and maintenance of a modular AI-based simulation framework for autonomous driving applications:
Requirements analysis for both machine learning research as well as business customer requirements
Derivation of a modular software architecture
Interfacing with existing solutions
Clean, efficient, and well-documented implementation of the simulation framework
Development and implementation of test scenarios for both the simulation platform as well as machine learning algorithms
Integration of machine learning algorithms into the simulation framework
Code preparation for evaluation, use, and rollout
· Supporting our research scientists in developing new probabilistic modeling approaches

Your expertise:

· Master in software engineering, computer science, data science, or related subjects; PhD is a plus
· Excellent programming skills, in particular Python, C++
· Experience in industrial production-quality software development and maintenance
· Knowledge of machine learning algorithms and principles, practical experience is a big plus
· Experience with Windows systems, experience with Linux is a plus
· Strong team player, highly self-motivated, interested in advancing the state of the art in machine learning modeling methods
· Strong English skills, motivation to work in an international team
Link: http://www.bosch-ai.com/

Data Scientist @ UberEATS

Uber
Launched two years ago, UberEATS is one of the fastest-growing food delivery platforms and currently serves millions of users in more than 200 cities globally.

The UberEATS data science team develops state-of-the-art machine learning, optimization, and statistical methods that power the growth, reliability, and efficiency of our unique three-sided marketplace.
Link: https://www.uber.com/careers/

Data Scientist / Computational Biologist

Indigo Ag
The Data Scientist / Computational Biologist will drive innovation throughout R + D by turning laboratory assay, growth room, greenhouse, and field trial data into actionable insights using modern ML. As a member of the ML team, they will design, denoise, and analyze experiments to find predictors of field success, connecting these results using machine learning to speed our R+D pipeline. The ideal candidate is excellent communicator who enjoys working in cross functional teams.
Link: https://boards.greenhouse.io/indigo/jobs/924277#.WicS7kqnHD4

Software Engineers

Whova
Whova has supported over 6,000 events in 83 countries and have benefited millions of event attendees. We've been growing at 2-5x every year and expanding rapidly.

The Whova app has the highest ratings among all the event apps in both the App Store and Google Play and has won Event Technology Awards in 2016 and 2017. It also has received the "Best Place to work in San Diego" two years in a row (2016 and 2017).

Whova spun off from a top research group at UC San Diego in 2013 and is backed by venture capital in Silicon Valley. The founding team consists of successful serial entrepreneurs who have experiences in building successful companies.

We are looking for talented software engineers who will help scale our backend infrastructure.
Link: https://whova.com

Machine & Deep learning Engineers

Dell
Dell EMC is looking for contractors min 1year in Austin to work on data science and performance optimization with different frameworks.
We are looking to fill these positions as soon as possible.
Link: www.dell.com

Senior Applied Researcher - Machine Learning

Expedia Inc.
We are looking for top-notch applied researchers and scientists interested in breaking new grounds to solve some of the most complex computational problems in the marketing domain.

The focus of your job will be in developing state of the art machine learning algorithms to power various aspects of highly complex global marketing campaigns. We spend hundreds of millions of dollars participating in highly dynamic and competitive auctions in travel Metasearch sites (TripAdvisor, Kayak, Trivago), Paid Search (Google, Bing, Yahoo) as well as in social media (Facebook). These marketing channels would benefit from solving a range of fundamental problems with varying levels of complexity, e.g., from inference problems that arise due to sparse data to solving complex optimization problems impacted by dynamic market and user behavior. We have rich, massive, and
untapped data sets containing observation points that can be collected only by spending huge amounts of money. Your passion for the craft of statistics, optimization, and machine learning will help unlock tangible growth for our business by exploiting these data sets.

You will be someone with a strong background in both machine learning (PhD is preferred) and software development.

Responsibilities:
· Provide technical leadership, identify key business challenges and opportunities, and develop end-to-end software solutions using machine learning and optimization methods
· Assess the validity of assumptions and hypotheses through experiments
· Collaborate with stakeholders, partners, and engineering team to ensure that solutions meet business needs, permit valid inferences, and have functional feasibility

Qualifications:
· PhD in CS or related field with experience and demonstrable work in machine learning
· Strong algorithm design and coding skills in at least one of major programming languages like Java, C/C++, Python
· A minimum of 3 years industry experience working with real data
· Strong communication skills both written and oral
Link: https://www.linkedin.com/jobs/view/384894446

DukaConnect, Inc.

DukaConnect
Based in Nairobi, Kenya and San Francisco, CA, DukaConnect is building a fully mobile AI platform for traditional retail.

We are looking for a driven machine learning and computer vision engineer to join our core technology team.

You should have a strong background in applied mathematics, optimization, machine learning, and software development. We are working on research problems on a product development timeline, so you should be enough of a scientist to be able to understand and implement your average ICCV paper, and enough of a hacker to be able to immerse yourself in challenging tasks without much guidance or background and write production-ready code. Ideal candidates for this position have a PhD or MS in a field related to artificial intelligence as well as publications at conferences such as ICCV, CVPR, WACV, NIPS, etc. or similar industry experience.

Required experience:

Linear Algebra
Machine Learning and modern tools for training (preferably Python stack, comfortable with TensorFlow)
Programming experience on a large-scale projects in C/C++ or similar
Knowledgable of scripting languages including Python
Computer Vision and standard libraries (OpenCV)
Comfortable in a Unix environment with common developer tools
Desired:

Knowledge of Android development environment
GPU Programming experience
An understanding of processing large datasets
Previous work in object detection, object tracking, or segmentation
Image processing background
Both “old-school” computer vision and “new-school” deep learning experience
Link: http://www.dukaconnect.com

Senior Machine Learning Engineer - SF and Seattle

Sift Science
Evil exists and fortunately we're here to stop it! Fraud and abuse plague online businesses of all types, from marketplaces to payment processors, social networks to e-commerce stores. As the internet's trust layer, Sift Science's mission is simple yet powerful: make these online experiences faster, smoother, and safer – using the smartest technology around.

As an Engineer at Sift Science you will be responsible for a plethora of tasks and systems that span our entire product and internal infrastructure. Every day, thousands of websites and apps rely on our cloud-based machine learning to eliminate fraud, slash costs, and grow revenue. As part of the team you will build new products, add and improve features, scale and maintain the systems that keep our customers happy, and build internal tools and systems to help streamline and optimize internal initiatives.

Who are you?

You are an experienced engineer who has real world machine learning experience. You feel equally comfortable running small experiments on your laptop using R as you are running Spark or Map Reduce jobs on remote clusters. You understand that while RNN might be a newer algorithm than Naive Bayes, more & better data usually trumps using the latest & best algorithm. Finally, you have been looking for an opportunity where you can leverage your passion and skills for good (in Sift Science’s case, helping to eliminate fraud on the internet).

What you’ll do

Leveraging our vast network data to train accurate globally-scoped models
Use Deep Learning techniques to analyze user behavior
Build offline experimentation systems used to simultaneously evaluate 10s of thousands of models
Scale machine learning pipelines used to produce thousands of models derived from many terabytes of data
Build systems that automatically explain how a model arrived at a prediction
[insert your novel ideas here]
What makes you a good fit?

Deep understanding of statistical modeling / machine learning / data mining concepts, and a track record of solving problems with these methods
Experience working with large datasets using Spark / MapReduce / etc
Familiarity with one or more machine learning or statistical tools such as R, MATLAB, or similar libraries for other programming languages
Strong communication & collaboration skills, and a belief that team output is more important than individual output
Advanced degree in Statistics, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, or a related field
Bonus Points

Experience working with data on HDFS / HBase / Cassandra / etc
Experience building backend systems using Java / Scala / Python
Link: https://boards.greenhouse.io/siftscience/jobs/551876#.WieRJZOIaEc

Applied Scientist

Microsoft AI & Research
We are part of Microsoft AI & Research group working on search and question answering for Bing, Cortana & Bing4Business. We work on all aspects of deep learning and looking for strong candidates to join our team. If you are interested, feel free to drop an email to learn more during nips.

Sr Data Scientist

Oracle
Stop by our booth between 3-4 pm today to meet the hiring team

We’re hiring for Sr. Data Scientist (and other) positions at Oracle. You will be working with senior executives on high impact business applications in Sales, Marketing and HR. We need at least 3-5 years of industry experience.

This position is located in the Bay Area (Redwood Shores).

Probabilistic Modeling Researcher

Bosch Center for AI (Robert Bosch GmbH, Stuttgart, Germany)
Be part of the Bosch Center for Artifical Intelligence. Your tasks will include:
Development and implementation of novel machine learning algorithms with focus on industrial application domains; in particular probabilistic machine learning approaches, e.g. probabilistic graphical models, (sparse) kernel methods, approximate inference techniques and latent variable models

PhD in Machine Learning with excellent publication record is required.

Please see linked job opening for more details.
Link: https://www.bosch-career.de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/en/567D863A01021ED78592589BD01ECDDE

Data/NLP Scientist at AnswerIQ

Answeriq
AnswerIQ is looking for Data Scientists to join our data science team. AnsweIQ is a new startup that applies NLP and ML in the enterprise customer support space. We develop algorithms to automate customer service including responding the tickets, classifying ticket issues, engaging conversations with customers. You will build and improve ML models; analyze customer dataset; develop algorithms to improve ML engine.

More details at www.answeriq.com. Feel free to reach out for more info at NIPS.
Link: https://smartassist-io.breezy.hr/p/959a6762379e-data-nlp-scientist

Data Scientist

Commerce.AI
Commerce.AI uses proprietary deep learning technology to automate product related decisions and workflows for brands and retailers. It was founded in 2016 by Stanford and MIT alumni team whose previous startup was acquired by Flipkart group. Commerce.AI is working with Walmart as their first customer and has signed up several Fortune 500 brands as well as retailers.

About the Role:

Qualifications:

- Ph.D/MS with experience in CS, engineering, mathematics or related field
- ML/DL, NLP, image recognition, data science
- Familiarity with data visualization
- Experience building end to end, full-stack pipelines
- Solid programming background in Python
- Solid background in Django or equivalent
- Experience in TensorFlow preferred
- Ability to refactor, rewrite and optimize code for production
- Self-motivated, team-oriented, responsible, and reliable with a positive attitude and strong communication skills

Responsibilities:

Optimize data science models, the full-stack pipeline, build visualization, design the user interface and build a SaaS platform that users will love.

Must have:

Ability and motivation to work in early stage startup environment.

Agent and Bot specialist

Docebo
An Agent and Bot specialist is expected to design and implement a variety of AI agents, either agents that interact with end users using natural language dialogue interfaces, or autonomous agents working in the background to adapt, optimize and personalize the user experience with complex software products and applications.

Reports to: Artificial Intelligence Product Owner
Location: Biassono, Italy - Docebo SpA

You will:
- Design and develop user-facing conversational agents, such as digital assistants and virtual coaches, leveraging best-in-class Natural Language technologies for user interaction
- Design and develop autonomous back-end software agents for reactive and proactive adaptation of SW systems and their user experience
- Integrate those agents with a library of services for data collection, mining, analysis and machine learning, which will be leveraged to augment the reasoning capabilities of the agents
- Be responsible to follow the development cycle of those agents from initial proofs of concept and exploratory prototypes, all the way to production-level SW components, ready to be integrated and run continuously within a larger commercial software platform.
- Advice the AI Product Owner on best-in-class techniques and technologies for the problem at hand

You have:
- Considerable experience developing AI agents, conversational agents, intelligent dialog systems and chatbots
- Considerable experience with natural language processing, natural language understanding, speech-to-text, text-to-speech, and related technologies
- Strong programming skills within the python ecosystem
- Proficiency in Javascript, HTML5 and CSS3
- Strong analytical skills
- Fluency in English
- College degree in Computer Science, AI or similar

Nice to have
- Experience with prominent natural language interface frameworks and virtual assistant services, such as Microsoft Cortana, Amazon Alexa or equivalent
- Experience with Natural Language toolsets such as NLTK, spaCy, word2vec or equivalent
Experience with deep learning for Natural Language applications
- Knowledge of service-oriented computing, specifically REST paradigm, and micro-services
- Attitude to work and deliver within the context of agile development methodologies

Docebo is a fast growing SaaS company headquartered in Biassono between Como lake and beautiful Milano. Backed by venture capital, Docebo has offices in Europe, Asia and North America, and is currently one of the fastest growing learning technology companies in the market. International perspective lends itself to celebrating a diverse workforce with talent from all over the globe creating a workplace unlike any other. We encourage individuals to find a work-life balance, with a work hard, play harder mentality, as we believe that recharged employees provide the best experience for our customers. Finally, Docebo team members are family, and unlike many modern companies that only focus on output, Docebo fosters professional development by providing clear progression opportunities, and by making sure their personal needs are met with full benefits, company-sponsored events and in-office happy hours.

Link: https://www.docebo.com/elearning-jobs-lavoro-careers/

Machine Learning for Testing (work remotely, publish)

MoQuality
MoQuality is using reinforcement learning to develop our AI which automates mobile QA for apps and games. We are interested in individuals with broad knowledge and experience in developing and evaluating various RL architectures and algorithms. As an RL engineer you will be uniquely positioned to apply your knowledge to practical and real world problems. We don’t do simulations, all our research goes into production and immediately to our customers. You will be involved in all stages of algorithm development from inception and initial implementation to evaluation and all the way to a deployable production quality system.

See https://angel.co/moquality/jobs
Link: http://www.moquality.com

Researcher - Autonomous Taxis

nuTonomy
nuTonomy is looking for researchers in Machine Learning, Deep Learning, and Data Analytics to join a fast growing company devoted to launching the worlds first self driving taxis. Please check out our website for more details.
Link: http://www.nutonomy.com/careers/

Deep Learning Researcher (PhD)

Tractable
THE COMPANY
Tractable is a Deep Learning start-up, founded in 2014 and backed by leading investors from the Silicon Valley ($10m funding to date). At Tractable you will be working with a tight-knit team of researchers, taking a data-driven approach to solve real-world machine learning problems with deep learning. We have a track record of taking cutting edge research and making it work for real products: we have a team of experienced reserachers, the necessary resources (in-house labelling and domain experts) and a large volume of data (100M+ images) to train our algorithms.

THE RESEARCH TEAM
Our main focus at the moment is on the auto insurance industry: we are building models that can understand the ways in and extent to which a car is damaged. As opposed to most applied DL problems, this is a visual task on which trained experts with decades of experience require ~30 seconds of thinking time to arrive at a decision.
We have currently modelled most of the external parts of a car, which is the basis of our audit product currently being used by 5+ major insurers. In addition to further improvements on these models we are now turning to combining them with metadata and even more sophisticated visual models, with the objective of further accelerating the process of vehicle damage assessment.

RESPONSIBILITIES
As a Deep Learning Researcher at Tractable, you will:
- Design, implement creative research solutions to big problems with the possibility to have significant commercial impact
- Adapt the latest developments from the lab (in domain adaptation, metric learning, multi-task learning etc.) to work in real-world settings
- Identify and prioritise research directions and adapt research processes as the company expands
- Advocate and guide strategy for design and product direction
- Mentor and advise researchers

REQUIREMENTS
- PhD in Machine Learning or related disciplines from a top research university
- Strong publishing track record (ICLR, ICML, NIPS, ICCV, etc) and proven ability to independently produce new research ideas
- 2+ years of experience using deep learning
- Proven ability of writing production-quality research code
- Experience using deep learning frameworks (tensorflow or similar)
- Excited to work in a small team and take research ideas into the real world

Deep Learning Specialist

Ring
As a member of our Research Team, you will research problems that we don’t have solutions for today through an iterated process of prototyping, implementation, and measurement. You will work closely with members of our Research and Engineering teams to improve models and bring products to market based on your research.
Your background should include three or more years of hands-on experience crafting and experimenting with neural networks, with additional years applying other machine learning techniques to a particular domain such as computer vision, image quality, digital signal processing, etc.
Link: https://ring-ukraine.com/careers/view/?gh_jid=767177

Deep Learning researcher for autonomous driving

Bosch Center for Artificial Intelligence (BCAI), Robert Bosch GmbH
Bosch is one of the largest suppliers of automotive sensors, and the newly founded Bosch Center for Artificial Intelligence (BCAI) offers the perfect environment for researchers to develop novel machine learning concepts that fully utilize the wide range of sensory information to be used in autonomous vehicles.

Renningen, near Stuttgart, is the new hub of the Bosch Group’s global research and advance engineering activities. Here around 1,600 employees from the center for research and advance engineering will develop new materials, methods, and technologies, along with new systems, components, and production processes.

Your responsibilities:

· Development of deep recurrent neural networks (DeepRNNs) for environmental modeling and situation understanding in highly automated / autonomous driving
· Implementation of efficient algorithms for behavior prediction in real time
· Further development of existing approaches, e.g. uncertainty handling, hybrid models
· Original research, theoretical investigations, publications at top Machine Learning conferences and journals
· Close contact to the scientific community in Deep RNNs, scouting and assessment of new approaches, publications on top conferences and journals
· Technical discussions and creation of new ideas within the existing Machine Learning research team
· Supervision of Master and PhD students

Your expertise:

· PhD in Deep Learning with excellent publication record
· Proven programming skills, in particular Python and one of Theano/Keras/TensorFlow
· Experience in development and implementation of state-of-the-art DL technologies, experience with graphical models is a plus
· Broad knowledge of machine learning algorithms and principles as well as probability theory
· Experience with real-world applicationsReinforcement learning researcher for autonomous drivingStrong teamplayer, motivation and ability to define personal research roadmap
· Strong English skills, motivation to work in an interdisciplinary and international team
Link: http://www.bosch-ai.com/

Perception Expert

Cruise Automation
Perception Expert
at Cruise
San Francisco, CA
We're the driverless car company. We’re building the world’s best autonomous vehicles to safely connect people to the places, things, and experiences they care about.

Our vehicles are on the road in California, Arizona, and Michigan navigating some of the most challenging and unpredictable driving environments. We’re hiring people who want to solve some of today’s most complex engineering challenges and make a positive impact.

We are looking for a skilled Perception Engineer to join our Autonomous Vehicle development team.

Responsibilities:

Tracking:
Sensor fusion as new technology is available
Maintain and improve existing tracking code
Lidar, radar, visual tracking
Lidar Segmentation:
Develop novel segmentation algorithms utilizing 3D point cloud data from LIDAR for object detection/recognition and scene understanding
Work with machine learned and geometric systems
Radar Processing:
Develop novel algorithms to detect and identify objects in the radar returns
Work with machine learned and temporal systems
Requirements:

MS/PhD in Computer Science, Mathematics, EE or similar field
A minimum of 2 years working experience as a Software Engineer writing production C++ code
Prior experience in any of probabilistic filtering, SLAM/Pose Estimation, optimization or machine learning
Ability to write clean, fast, reliable and highly scalable C++ code
Working experience in an environment that develops a complex multithreaded product
Strong organizational and communication skills
Experience working with point clouds
Object-oriented analysis and design skills
Improve and deliver reliable software through continuous integration, automated testing and code reviews
Unit test everything, but know when to ask our stellar infrastructure team for scripts/tools
Bonus Points:
Excellent knowledge of linear algebra, matrix operations, and non-linear optimization
5+ years industry experience working with Lidar, Kinect, or Point Cloud space
Experience with Linux
Background in sensor fusion
Perks:

Solve difficult problems that have immediate and valuable real-world applications
Competitive salary and benefits including matched 401k, medical / dental / vision, AD+D and Life
Paid parental leave
Flexible vacation and 10 paid company holidays
State of the art equipment for your work station
Lunch, snacks, and dinner
Free rides in self-driving cars!

GM Cruise LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, GM Cruise LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Link: http://getcruise.com/careers

PhD Internship Summer 2018 - Machine Learning

Expedia Inc
We are looking for top-notch applied researchers and scientists interested in breaking new grounds to solve some of the most complex computational problems in the marketing domain.

You will contribute in the design and development of advanced machine learning algorithms to power various aspects of highly complex global marketing campaigns. We spend hundreds of millions of dollars participating in highly dynamic and competitive auctions in travel Metasearch sites (TripAdvisor, Kayak, Trivago), Paid Search (Google, Bing, Yahoo) as well as in social media (Facebook). These marketing channels would benefit from solving a range of fundamental problems with varying levels of complexity, e.g., from inference problems that arise due to sparse data to solving complex optimization problems impacted by dynamic market and user behavior. We have rich, massive, and untapped data sets containing observation points that can be collected only by spending huge amounts of money. Your passion for the craft of statistics, optimization, and machine learning will help unlock tangible growth for our business by exploiting these data sets.

You will be someone with a strong background in both software development and machine learning. Preference is given to PhD students within 2 or 3 years of completing their degrees.

Responsibilities:
-Work with senior applied researchers and scientists to design and develop end-to-end software solutions using machine learning and optimization methods
-Assess the validity of assumptions and hypotheses through experiments
-Write up and document key ideas of the solution as well as results of conducted experiments for potential submission to a conference

Qualifications:
-PhD student in CS or related field with experience and demonstrable work in machine learning (e.g. publications)
-Strong algorithm design and coding skills in at least one of major programming languages like Java, C/C++, Python
-Strong communication skills both written and oral

For inquiries, please send an email message to: arestificar@expedia.com, or feel free to reach out to me during the conference.

Data Scientist

Expedia, Inc.
Expedia, the world leader in online travel, is looking for a Data Scientist to join the eCommerce Platform Risk and Security team (ERS). The Data Scientists in this team create and deploy sophisticated machine learning models that power a vast range of applications related to fighting fraud, mitigating risk, and securing our electronic assets. Building on Statistics, ML, AI, NLP , they work closely with business units and internal partners to implement industry-leading solutions
Link: https://expedia.wd5.myworkdayjobs.com/en-US/search/job/USA---Washington---Bellevue/Data-Scientist-II_R-15158

Senior Data Scientist - London

Badoo
Badoo is the largest dating site, with more than 360 million registered users across 190 countries.

RESPONSIBILITIES

Create statistical and predictive models in order to enhance our user experience and overall monetisation levels.

Perform analysis across a variety of data topics and help solve challenges such as optimization, image recognition, user clusterization, performance tuning, and anomaly detection.

Participate in complex analytical tasks.
Link: https://team.badoo.com

Intern - Data Scientist

Expedia, Inc.
Expedia, the world leader in online travel, is looking for a Data Scientist to join the eCommerce Platform Risk and Security team (ERS). The Data Scientists in this team create and deploy sophisticated machine learning models that power a vast range of applications related to fighting fraud, mitigating risk, and securing our electronic assets. Building on Statistics, ML, AI, NLP and so on, they work closely with business units and internal partners to implement industry-leading solutions

Postdoc in Machine Learning

ETH Zürich
We are seeking a highly motivated postdoctoral researcher with a strong machine learning background to join us in our vision to push the state-of-the-art in machine learning and subsequently address some of the major challenges arising in computational biology and health care.

You will work on foundational machine learning challenges, leading projects, and collaborating with other researchers. You will have the possibility to participate in basic, translational science that brings your novel machine learning techniques into impactful biomedical applications.

Machine learning topics of interest include, but are not limited to, probabilistic modeling, representation learning, deep learning, time-series modelling, generative models, integrating multi-modal data, model interpretability, convex and non-convex optimization. These topics are inspired by the challenges posed by biomedical data: high-dimensional, multi-modal datasets with missing data, collected under noisy and imperfect conditions, with complex temporal dynamics and a sensitive nature.

Please send inquiries about the lab and possible projects as well as applications by email to Gunnar Rätsch and use “#application #postdoc” in the subject line.
Link: https://bmi.inf.ethz.ch/opportunities/machine-learning-postdoc/

Data Scientist

Expedia, Inc.
Expedia, the world leader in online travel, is looking for a Data Scientist to join the eCommerce Platform Risk and Security team (ERS). The Data Scientists in this team create and deploy sophisticated machine learning models that power a vast range of applications related to fighting fraud, mitigating risk, and securing our electronic assets. Building on Statistics, ML, AI, NLP and so on, they work closely with business units and internal partner to implement industry-leading solutions.
Link: https://expedia.wd5.myworkdayjobs.com/en-US/search/job/USA---Washington---Bellevue/Data-Scientist-II_R-15158

Hedge Fund: ML / Data Science Developer

JEM Capital Management
Hedge fund located in Portland Oregon is seeking experienced Machine Learning / Data Science Developer to work with a team of scientists and engineers to help design and implement our next-generation systems for trading and execution, as well as portfolio, risk and data management systems. Successful applicants will work with a team of elite traders / researchers in a stimulating, collegial, and collaborative environment.

Senior Data Scientist - London

Badoo
Badoo is the largest dating site, with more than 360 million registered users across 190 countries.

RESPONSIBILITIES

Create statistical and predictive models in order to enhance our user experience and overall monetisation levels.

Perform analysis across a variety of data topics and help solve challenges such as optimization, image recognition, user clusterization, performance tuning, and anomaly detection.

Participate in complex analytical tasks.
Link: https://team.badoo.com

Machine Learning Engineer

Lecida Inc.
Lecida is a fast-growing startup applying AI and Machine Learning to the Industrial Internet of Things, founded by engineers from Stanford, Berkeley and Oxford. Our technology is currently being applied across multiple industries, including construction, power, and agriculture. We offer a stimulating work environment with access to large time-series datasets and a weekly ML/systems reading group.

We are seeking talented Machine Learning Engineers for full-time or internship positions in our Berkeley office.

Responsibilities:
* Perform exploratory data analyses on large volumes of industrial machine sensor data
* Train and test ML models for time-series prediction and control optimization using TensorFlow
* Work closely with the Data Platform team to deploy ML models in the Lecida Cloud

Qualifications:
* Strong understanding of modern machine learning techniques, including deep learning, probabilistic graphical models, and the application of these techniques to problems in time-series analysis
* Experience applying machine learning techniques to real-world datasets (the noisier the better)
* Excellent coding skills in Python, familiarity with git/Github
* Experience developing software in a *NIX programming environment

If you are interested, feel free to email your resume to careers@lecida.com or send Ivan Gozali or Michael Xie a message through Whova.
Link: https://lecida.com

Research Scientist

New York University School of Medicine, Department of Radiology
• 3 openings in AI for biomedical imaging
• Research scientists (faculty possible)
• Joint between Radiology & Predictive Analytics
• Access to data!
• Access to domain experts! (clinicians & basic scientists)
• Impact on human health!

For details, please contact: Yvonne.Lui@nyumc.org

Game Testing using Machine Learning

MoQuality
Work remotely
Publish papers
Be a part of a startup right from its start
Backed by Techstars

MoQuality is using reinforcement learning to develop our AI which automates mobile QA for apps and games. We are interested in individuals with broad knowledge and experience in developing and evaluating various RL architectures and algorithms. As an RL engineer you will be uniquely positioned to apply your knowledge to practical and real world problems. We don’t do simulations, all our research goes into production and immediately to our customers. You will be involved in all stages of algorithm development from inception and initial implementation to evaluation and all the way to a deployable production quality system.

See https://angel.co/moquality/jobs

Link: http://www.moquality.com

data scientist

Samsung SDS, San Jose, Ca, USA
we are an AI lab hiring PhDs with experience in deep learning, reinforcement learning and problistic models and apply to computer vision, nlp, recommendation problems

Six postdoctoral positions in machine learning

Romanian Institute of Science and Technology
Topics: neural program induction / synthesis, curiosity-driven learning, deep learning, information geometry
Link: https://rist.ro/jobs

Machine Learning Research Scientist - PhD

Rakuten Institute of Technology - Boston, Rakuten USA
Established in 1997, Rakuten is the biggest E-commerce company in Japan. Rakuten has been growing rapidly, having over 40 businesses such as online travel agencies and financial services. Rakuten is expanding globally at a fast pace in North America, Europe, Asia, South America, and Australia.

Rakuten Institute of Technology (RIT) is the corporate R&D department of the Rakuten group and is responsible for leading strategic technology progress. RIT's targets vary from basic technologies to innovative new services. RIT consists of highly motivated research scientists located in Tokyo, Boston, Singapore, and Paris who are driven by strong curiosity and interests.

Research Scientist Positions
RIT-Boston is calling for research scientists as follows. As a research scientist, you will lead a research project to conduct research in a small team, collaborating on global projects in a friendly work environment. Some of the areas we are working on right now are:
- Deep Learning
- NLP
- Taxonomy classification in multiple languages
- Supervised learning in the presence of label noise
- Query intent analysis
- Learning to rank
- Sequence modeling
- Image search

The basic expectations are:
- Contribute production-ready state-of-the-art solutions to difficult problems that the Business Units face on a daily basis
- Publish the results in top tier conferences

Link: https://www.linkedin.com/jobs/cap/view/497632561/?pathWildcard=497632561&trk=job_capjs

Software Deployment Engineer

Rakuten Institute of Technology - Boston, Rakuten USA
As a Rakuten Institute of Technology software deployment engineer, your main responsibility will be working with experienced machine learning scientists taking state of the art algorithms in varied languages, enhancing them for production capability and deploying them for other business units. Our goal is to provide machine learning as a service through solid software engineering and DevOps principles. In addition to coding and deploying production level code, you will also be involved with:

- Performing code reviews for engineer and researcher code
- Documentation and unit testing
- Collecting performance metrics of existing provided services
- Managing CI/CD processes and helping to create build scripts
- Management of artifact repositories
- Cluster-level architecture of needed packages
- Research into new technologies and knowledge transfer

Needed Qualifications:
- 5 years in Software Development
- Strong language proficiency in Python
- Additionally, a strong language proficiency in one of Java, NodeJS, and/or Go
- Strong proficiency in writing full-stack applications
- Understanding of build tools (Maven, Make, Gulp)
- Familiarity with container technology (Docker)
- Understanding of Unix/Linux system processes
- Working knowledge of CI/CD tools, such as Jenkins

Desired Qualifications:
All of the needed qualifications above, as well as:
- Proficiency with messaging technologies (Kafka, RabbitMQ)
- Familiarity with container orchestrators (Kubernetes, Mesos)
- Working knowledge of scientific and mathematical packages such as Numpy, Scipy
- Working level knowledge of machine learning libraries (tensorflow, xgboost)
Link: https://www.linkedin.com/jobs/cap/view/497632556/?pathWildcard=497632556&trk=job_capjs

Machine Learning Research Engineer

Imagen Technologies
Imagen is extending the frontiers of medicine and artificial intelligence (AI) to improve human well-being. In the short-term we are building state-of-the-art AI systems to reduce diagnostic errors and improve patient outcomes. Over the long-term, we are conducting research to find the next set of breakthroughs at the intersection of AI and medicine to transform early disease identification and management.

We’re a team of leading scientists, engineers, clinicians, and industry professionals from some of the top health care and technology organizations across the globe. Our clinical team is comprised of radiologists and surgeons from Mayo Clinic, Stanford Hospital, Hospital for Special Surgery, Boston Children’s Hospital, and others. Imagen’s technical team is comprised of machine learning PhDs and engineers with extensive experience doing research and building technology and products at leading companies, including Google and Facebook.

We were founded in 2015 and have raised $21m from leading venture capitalists, hospitals and health systems, and technology entrepreneurs. Our institutional investors include: Draper Fisher Jurvetson (DFJ), Allen & Company, and Euclidean Capital (Jim Simons).

We are looking for passionate research engineers with expertise in artificial intelligence, computer vision, and software engineering. As a research engineer, you will be a part of our AI team working closely with researchers to develop and train novel machine learning models for high impact problems in medical imaging. Through our partnerships with multiple health systems in the U.S., we are in the process of building medical imaging datasets at an unprecedented scale, which are being annotated by our extensive clinical team to obtain clean ground truth. You will engage in training and testing these novel models on our proprietary datasets. In addition, a key part of your job will be to collaborate with our engineering team to help productionize the trained models. While doing so you will not only gain valuable experience in AI, but will also get a first-hand look at how these models are scaled and deployed in high impact real-world settings.

Responsibilities
Work closely with AI researchers to develop scalable algorithms based on state-of-the-art machine learning techniques, particularly neural network methodologies
Own the entire training pipeline -- pre-process and massage the data to make it suitable for model training, implement parametric models, train them on the pre-processed dataset, and finally test it on the held out set and real users
Analyze the results and refine the model and/or its training to improve its performance and make it production ready
Work closely with our engineering team to transfer the technology
Conduct exploratory data analysis to extract patterns in large swaths of data, in order to gain insights into it, which in-turn will enable to better modeling
A non-trivial part of this job will involve model exploration. As a result you should be comfortable reading a research paper, implementing the ideas discussed in it, and applying it to our datasets
Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments, such as GPUs and distributed clusters

Qualifications
Ph.D. or Masters in Computer Science or equivalent
Experience in machine learning, deep learning, and numerical optimization
Experience in developing and debugging in Python, Lua, or C/C++.
Experience working with deep learning libraries such as TensorFlow, Torch, Caffe, or Theano
Experience training models on GPUs and on modern distributed systems, such as multi-GPU clusters
Link: https://jobs.lever.co/imagen/86dc23a0-d681-425a-bec8-80f835359b77

Deep Learning Engineering Intern

Bay Labs
Bay Labs is at the forefront of bringing deep learning advances to critical healthcare problems. We have assembled an exceptional team of clinicians, engineers, and scientists who are developing breakthrough technologies in cardiovascular imaging.
We are looking for a deep learning intern to join our engineering team for the Spring or Summer 2018. The candidate should be currently pursuing Masters or PhD focused on scientifically developing deep neural network architectures.
Link: http://baylabs.io

ML Opportunities at Spotify

Spotify USA Inc
Spotify is looking for for awesome ML folks interested in music personalization and audio space to join the band. We are also looking for interns for Summer 2018.
If there is interest, reach out to me or apply via the link posted.
Link: https://www.spotifyjobs.com/job/senior-machine-learning-engineer-ozhq4fwu/

ML and Data Scientist at Uber Eats

Uber Eats
Uber Eats is hiring machine learning and data scientists ...
• ... interested in working in one of fastest-growing food delivery platforms (serving eaters, couriers and restaurants)
• ... solving unique challenges through machine learning (including deep learning, NLP, time-series forecasting, etc.)
• ... using a variety of structured (e.g., trips and app sessions across both space and time) and unstructured data (e.g., food photos, menu descriptions, user action sequences, customer support
Link: http://bit.ly/eats_ds

3D/Vision Deep Learning Engineer

Matterport
Are you a DL expert with computer vision skills? Matterport has the world’s largest dataset of aligned RGB-D images -- 400 million images from 450K different real-world locations, and we want you to help us learn from it. We have a broad DL agenda including semantic segmentation, 3D object classification and pose estimation, depth from RGB, estimation of unseen 3D surfaces, image in-filling, and more. We're also working closely with some of the leading academic research labs in the country.
Link: http://www.matterport.com/careers

DL Intern, Vision & 3D

Matterport Inc.
Matterport has the world's largest dataset if human scale RGBD 3D models. Work in areas that could include point cloud alignment, generation and texturing of 3D meshes from point clouds, 3D mesh manipulation, camera calibration, and 3D scene understanding.
Link: https://jobs.lever.co/matterport/ec2023f0-277d-40bc-8e5e-0b02311707ff

Researcher (Science)

Invenia Labs
About Invenia Labs:

Invenia Labs uses machine learning to optimise the electricity grid, ensure demands are met at least-possible prices and minimum pollution. Our work helps to reduce emissions and pollution, improve reliability of the grid and increase economic efficiency.

We are a team of researchers and engineers working together to find solutions to address social, economic and environmental challenges through technology and science.

We are located in Cambridge, UK and Winnipeg Canada. We are growing and welcome applications from researchers interested in joining us.

Required Competencies:
- MSc/PhD in Machine Learning, Electrical Engineering, Mathematics, Physics, Computer Science, or Statistics.
- Experience with numerical and scientific computing concepts and methods.
- Good coding skills. Expertise with Python and/or Julia.
- Experience with machine learning toolboxes and frameworks, such as TensorFlow and scikit-learn.
- Expertise with Bayesian methods, probabilistic modelling, optimisation, and statistical inference on complex data.
Link: www.invenialabs.com

Flipboard - Machine Learning Engineer (Vancouver)

Flipboard
Flipboard is the world’s largest mobile curation platform. Powered by people and technology, Flipboard makes it easy to stay informed and get inspired by the stories and products that fuel your passion. We are looking for a Senior Machine Learning Engineer to help us take our product to the next level.

At Flipboard we are re-imagining how people consume news and information in the world. The Data Products group drives this forward helping users in the face of information overload; producing newsfeed content tailored to you; connecting you with other users and recommending stories, topics and magazines. Using a wide range of data-driven techniques to achieve this, drawn from machine learning, collaborative filtering, topic modelling, entity extraction, psychology and old-fashioned straight-up product design. We deal with billions of signals daily, and this means developing high-performance distributed systems at scale.

This position is based in our downtown Vancouver office.

Responsibilities

Work with us on scaling and developing our data driven systems, ideally you have interest and abilities in both data science and engineering; as this is a hands-on role where you own the whole stack – from models to production.

You will be working with a small team of engineers and data scientists.

You will have your hand in a variety of projects – data collection, data analysis, algorithm development, scaling the system to tens of millions of daily active users and working with engineers across other teams in bringing our architecture forward.

You will have substantial independence and responsibility from day one.

Requirements

Minimum 5+ years of relevant industry experience.

Deep programming proficiency, ideally with experience in Python, C++ and Java

Solid background in Mathematics, Statistics and Machine Learning

Self-starter with excellent communications skills

Experience with implementing data-processing systems or machine learning systems at scale

Full-stack AWS engineering experience a big plus.

Benefits & Perks

Our CEO Mike McCue is a creative visionary experienced at building innovative products and companies.
Our benefits include vision, dental, life, health insurance, “Employee and Family Assistance Program” plus eligibility to participate in our pension plan with an employer match.

Flexible hours and generous ‘out of office time’ for holidays, vacations, sick leave, relaxation & wellness, personal and family needs.

Team celebrations: company anniversaries, birthdays, Thanksgiving, weddings/babies‐‐you name it, we celebrate it!

We are an equal opportunity employer and value diversity and inclusion at our company.

Applied Scientist

Amazon
Do you want to join an innovative team of scientists who use ML and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for our India Consumer Businesses.

See link or contact for more info. Full-time and internship opportunities available!
Link: https://www.amazon.jobs/en/jobs/435376/applied-scientist-machine-learning

CV / ML engineer

Aquabyte
Aquabyte is looking to hire software engineers with experience in backend data processing (AWS Batch, Lambda, Docker), computer vision (CNN / deep learning, stereo vision, video object segmentation / detection), machine learning (reinforcement learning, optimization, time-series analysis), and web engineering (React.js). All backgrounds considered, we are primarily looking for smart entrepreneurial individuals vs a specific skill set. Company is based in SF with branch offices in Bergen, Norway, and coding is primarily in Python and Node.js.

We are one of the few companies applying machine learning / computer vision to directly solve the world’s food sustainability issues. Your work has direct relevance on the world’s food chain. By improving fish farm efficiency (fish farming is #1 fastest growing sector of food production, $160B worldwide), you help close the world’s impending protein deficit.

We work on very challenging machine learning problems and represent engineering graduates from Princeton and Stanford. Come join us!

Key points
- Great investors, one of the few companies incubated at NEA (largest VC firm), and consistently invested through pre-seed and seed
- Join at the right time
-> We are closing a 3.5mm seed round (NEA, Costanoa, Struck) and get in on the ground floor -> very exciting time to be involved
- Work on something that is meaningful to the world
-> 50% protein deficit by 2050, aquaculture is the main means to food sustainability
- See real-life implications of your work: we have offices in Bergen, Norway and we will fly you to Norway to see an actual fish farm and see algorithms in work
Vs working on something where you’re always behind the screen
- Travel to interesting places
- Few company - IOT, CV, ML, one of the most technically strong team
- Work at a startup
- Have a direct impact on the growth of the company and eventually lead a team
- Great top-notch team, that have built trading algorithms at DRW and computer vision algorithms at Flickr and 23andMe. Engineering team represents engineering graduates from Princeton, Stanford
- Work on really interesting technical problems
Machine learning, computer vision, data science
Link: https://www.aquabyte.ai

Full-Stack / NLP researcher

IdeaFlow
MIT Intelligence Augmentation Startup Hiring Core Web/Mobile Engineer
IdeaFlow is a startup from MIT that came out of research with Tim Berners-Lee (creator of the Web) designing a new sort of personal and group productivity tool that extends the human mind into the computer. We’ve raised $1.8m from notable investors including the CTO of Reddit and the director of the MIT Media Lab, have major customers, and are looking for: 1) a passionate web developer with significant JavaScript experience 2) an iOS engineer, to play core roles!
If you’re into personal information management we should talk regardless -- we’re building a Memex https://en.wikipedia.org/wiki/Memex 🙂
Details: crunchbase.com/organization/ideaflow#/entity (click “see more” and go to video previews)
Graph View Demo (semantically searchable graph of YC Startups): https://ideapad.io/yclist/graph?snapshot=filepicker-zone

Yahoo Research Scientist & Research Intern

Yahoo
Yahoo is rapidly transforming itself into a mobile-first company. Along with mobile consumer products, Yahoo is investing heavily in mobile advertising. Yahoo has launched Yahoo Gemini, the world's first advertising marketplace for both search and native ads. We are looking for research scientists (at all levels) and research interns with skills and experience in one or more of the following areas: Computational Advertising, Click and Conversion Modeling, Machine Learning, Deep Learning, Data Mining, or Natural Language Processing. Previous interns published papers in NIPS, AAAI, WSDM, WWW, CIKM, SIGIR, etc. Please contact me if you are interested in these roles.
Link: Phttps://tas-yahoo.taleo.net/careersection/yahoo_us_cs/jobdetail.ftl?job=1742064&tz=GMT-08%3A00

Assistant Professor UIC Chicago

UIC
The Information and Decision Science (IDS) Department within the College of Business Administration invites applications for one or more tenure-track or tenured faculty position(s) in Business Statistics/Analytics beginning August 2018. Preference will be given to those candidates with research and teaching interests in applied statistics, business analytics, machine learning, and large scale data problems.
Link: https://jobs.uic.edu/job-board/job-details?jobID=85861

Data Scientist - Machine Learning Engineer

Pirelli
Are you passionate about F1, cars and automotive industry?

Come join Pirelli: the only official provider of Formula 1 tyres and the manufacturer leader in prestige market (Ferrari, Lamborghini, McLaren).

Do you want to make an impact using your analytics skills against a huge amount of widely diverse data? At Pirelli you will apply statistical analysis and machine-learning techniques on a wide range of data (from sensors, to telemetry and manufacturing) and you will change how decisions are made across all business units.

Responsibilities
● Develop, tune and deploy novel, scalable, yet interpretable machine learning at scale

● Implement required data pipelines supporting data products requirements

● Contribute to our analytics code base

Required Skills

● A passion and curiosity for data and data-driven decision making

● Advanced knowledge of SQL, and NoSQL databases (Redis, Cassandra)

● Working knowledge of Hadoop ecosystem, in particular: Spark, Hive

● Advanced knowledge of Python

● Working knowledge of pandas, scipy, numpy,

● Extensive experience in machine learning models development and deployment. Knowledge of AWS infrastructure.

● Extensive knowledge of scikit-learn, statsmodels, TensorFlow and other machine learning/ stats/data mining packages

● Ability to prototype and test suboptimal solutions quickly and iterate up to a final product that can be deployed in production

● Deep knowledge of applied statistics including complex multivariate statistical analysis, Bayesian statistics, Time Series analysis

● Ability to convey complex analyses with the most efficient and intuitive visual interactions

● Ability to effectively communicate findings and rationale behind predictive models implemented to executives and management

● Master in Computer science, physics, math, engineering, statistics or other computationally intense disciplines PhD preferred

● Experience with Agile methodologies (SCRUM) and tools (Jira)

Minimum Requirements:

● Master in Computer science, physics, math, engineering, statistics or other computationally intense disciplines

● PhD preferred.

● At least 2 years of experience in a data science / data analysis positions

Location : The position will be initially based at Pirelli HQ in Milan, Italy.
Link: https://career5.successfactors.eu/career?career_ns=job_listing&company=Pirelli&navBarLevel=JOB_SEARCH&rcm_site_locale=en_GB&career_job_req_id=9841&selected_lang=en_GB&jobAlertController_jobAlertId=&jobAlertController_jobAlertName=&_s.crb=JlRKkFKyrJEOzqu5e0iNofHbKpk=&jobPipeline=Indeed

Machine Learning Research Scientist

Pfizer R&D
The Machine Learning (ML) group at Pfizer R&D seeks exceptional research scientists interested in developing methods in the areas of probabilistic models, deep learning, and reinforcement learning for application to a number of challenging problems in drug discovery.

PhD in Computer Science or related technical field required.
Link: https://www.linkedin.com/jobs/view/1117668378