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Machine Learning Software Systems Engineer
Expedition Technology
Expedition Technology Inc. (EXP) is seeking strong candidates from junior through senior levels, with knowledge of machine learning, deep learning if possible, and a broad experience with robust cloud computing (e.g. Docker, AWS). Experience in some of the following areas is very useful:

Computer vision

Pattern recognition

Deep learning

Navigation

Radar

Lidar

Advanced image and video processing

Data science and analysis

U.S. citizenship is required for this position.
Link: http://exptechinc.applytojob.com/apply/j2CfwdYCpG/Machine-Learning-Software-Systems-Engineer?source=iclr
Machine Learning Engineer
Expedition Technology
Expedition Technology Inc. (EXP) is seeking strong candidates from junior through senior levels, with 2+ years experience with machine learning approaches and concepts, particularly deep learning. Experience in some of the following areas is very useful:

Computer vision

Pattern recognition

Deep learning

Navigation

Radar

Lidar

Advanced image and video processing

Data science and analysis

U.S. citizenship is required for this position.
Link: http://exptechinc.applytojob.com/apply/ETJgbRP34I/Machine-Learning-Engineer?source=iclr
Beyond Jarvis - Clova AI Research
NAVER & LINE
- AI research scientists / engineers
* PhD degree related to AI or equivalent expriences
* Exellent research capability and leadership
* Strong implementation ability based on deep learning library

- Global Residency
* BS or higher in AI-related majors
* Ability to understand and implement latest deep learning research

- AI research internship
* Passion on AI research
* Experience in implementing deep learning papers

- Location
* Korea Japan, Hong Kong, and France
Link: https://clova.ai/m/en/research/careers.html
Applied Scientist (early career and senior positions)
Microsoft
Build representations of language through interacting with millions of active. Help people write better. Reach out for more details.
Link: https://www.linkedin.com/in/chrisquirk/
Computer Vision Engineer - Autonomous Vehicles - New College Graduate
NVIDIA
Our team is building the Map Perception component of the NVIDIA DriveWorks SDK, with the goal to build a scalable crowd-sourced mapping platform for autonomous driving, that will enable a fleet of autonomous vehicles to create and consume map data collaboratively.

We are seeking software engineers with interests in computer vision, mapping, LiDAR perception, deep learning, sensor fusion, and other related areas, to work as part of NVIDIA’s autonomous vehicles team.

What You'll Be Doing:
Taking algorithms from initial evaluation and experimentation all the way to shipping them as part of the NVIDIA DriveWorks SDK and related products.
Developing and optimizing software architecture for real-world performance while matching or exceeding customer requirements.
Working on areas such as sensor self-calibration, vehicle ego-motion, perception, mapping and localization using a variety of sensor modalities (Camera, LiDAR, Radar, INS, GPS, Odometry, etc.).
Collecting map data, working on storage systems, fusing and mining data, integrating into a cloud-based service.
Solidifying existing algorithms, and working with large amounts of real and synthetic data to continuously improve the algorithmic and computational performance.
Performing in-vehicle tests, capturing data and completing autonomous drive missions.
Developing unit tests, documentation for features, evaluating quality and proposing corrective actions.
Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Code written must comply to strict quality and safety standards such as defined by MISRA.

What We Need To See:
MS degree in Computer Science, Robotics, or related field.
To be successful you should have experience in one or more of the following areas: Computer vision, visual geometry, LIDAR perception, SLAM and/or deep learning.
Experience building robust software.
Have strong programming and debugging skills in C++ and real-time multi-threaded software development.
Good communications and analytical skills. Ability to work with multiple cross-functional teams across multiple time zones.

Ways To Stand Out From The Crowd:
Experience developing real-time LIDAR Perception and/or Computer Vision systems and / or scalable cloud based mapping solutions.
Experience fusing data from different sensor modalities (e.g. Images and LIDAR data) to enable information conflation, label propagation, cross training for deep learning.
Experience with visual geometry and deep learning in a shipping product context.
Software development on embedded platforms or large scale cloud services.
Experience with GPGPU programming (CUDA and OpenCL).
We believe that realizing self-driving cars will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team.
​​
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Link: https://nvidia.wd5.myworkdayjobs.com/en-US/UniversityJobs/job/US-WA-Redmond/Computer-Vision-Engineer---Autonomous-Vehicles---New-College-Graduate_JR1913497
AI Developer Technology Intern - Fall 2018
NVIDIA
We are accepting applications for Fall 2018 (September - December). Please ensure that you are available full time in Santa Clara during this time.​

We are now looking for an AI Developer Technology Intern for Fall 2018:

Come join a team full of extraordinary computer scientists to work on the Compute Developer Technology team.

What you will be doing:

You will study and develop state of the art techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures
You will provide the best AI solutions using GPUs working directly with key customers
Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models

What we need to see:

Currently pursuing a MS or PhD from a leading University in an engineering or Computer Science related discipline
You'll possess strong knowledge of C/C++, software design, programming techniques, and AI algorithms
Experience with parallel programming, ideally CUDA C/C++
Excellent communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Link: https://nvidia.wd5.myworkdayjobs.com/en-US/UniversityJobs/job/US-CA-Santa-Clara/AI-Developer-Technology-Intern---Fall-2018_JR1914767
Software Engineer - Autonomous Vehicles - New College Graduate
NVIDIA
We are now looking for a Software Engineer – Autonomous Vehicles – New College Graduate:

Our team builds the NVIDIA DriveWorks SDK with the goal to provide a scalable software stack and framework to build autonomous vehicles.

We are seeking software engineers with interests on designing, developing and maintaining many aspects of the core technology such as sensor interfaces, data streaming, threading, memory management and lower level platform specific technology.

What you will be doing:

Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements.
Working on areas such as sensor abstraction layers, data processing components, process scheduling and frameworks.
Solidifying existing algorithms and working with large amounts of real and synthetic data to continuously improve the algorithmic and computational performance.
Performing in-vehicle tests, collecting data and completing autonomous drive missions.
Developing unit tests, documentation for features, evaluating quality and proposing corrective actions.
Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Follow quality and safety standards such as defined by MISRA

What we need to see in you:

BS/MS or higher in computer engineering, computer science or related engineering disciplines.
Excellent C and C++ programming skills
Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.
Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
Strong knowledge on Linux, Android, and/or other real-time operating systems.
Thrive on writing low latency, highly performant code
Great communication and analytical skills.
Self-motivated and a great teammate

Ways you can stand out from the crowd:

Understanding of embedded architectures
Experience with embedded systems & microcontrollers
Experience with working on OS and driver internals
Experience with data-parallel and/or GPGPU programming, CUDA, OpenCL
Knowledge of image processing APIs (e.g. OpenCV) and MATLAB tools.
Knowledge of automotive systems, notably ADAS applications.
Software development for modern OpenGL (Core Profile) and Linux.
Experience with version control systems GIT and build system CMake
Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation


NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Link: https://nvidia.wd5.myworkdayjobs.com/en-US/UniversityJobs/job/US-CA-Santa-Clara/Software-Engineer---Autonomous-Vehicles---New-College-Graduate_JR1911783
Software Engineer - Autonomous Vehicles Simulation - New College Graduate
NVIDIA
We are now looking for a Software Engineer - Autonomous Vehicles Simulation - New College Graduate:

Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

Imagine being able to test an autonomous vehicle in a near-infinite variety of conditions and scenarios—before it even reaches the road. NVIDIA is making it happen, enabling the industry to safely drive billions of miles in virtual reality with the powerful new NVIDIA DRIVE™ Constellation AV simulator.

DRIVE Constellation uses photorealistic simulation to create a safer, more scalable, and more cost-effective way to bring self-driving cars to our roads. It uses the computing horsepower of two different servers to deliver a revolutionary cloud-based computing platform, capable of generating billions of miles of autonomous vehicle testing.

What You’ll Be Doing:

As a member of our Autonomous Vehicle team, you will work on simulator for end to end testing of software & hardware for autonomous driving.
Develop scenario or use case based mechanisms for implementing and running large number of test scenarios
Work with customers and partners for simulator
You will collaborate with a diverse team of engineers encompassing the entire NVIDIA Automotive platform. As such, you should have a track record of working well across organizations
Strong communication skills are required

What We Need To See:

Pursuing a BS, MS, or PhD degree in Computer Science, Electrical Engineering, or Computer Engineering
You demonstrate excellent C/C++ programming, software design, and debugging skills in a Linux environment.
Experience with a scripting language (Python, Bash, etc.)
Some familiarity with embedded platforms and system software
Ability to write technical documentation

Ways To Stand Out From The Crowd:

Deep understanding with Unreal Engine, Unity Game Development Simulator
Familiarity with industrial and scientific simulators and their software architecture.
Prior knowledge with descriptive interface i.e. XML, YAML etc for simulation applications and opensource applications desirable
Worked on Web based UI development for large scale testing, reporting and analytics
Expertise with Database technologies
Experience with software traceability for testing highly reliable software systems
Passionate about helping to ensure the reliability of a safety critical system
Deep understanding of technology and passionate about what you do
Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment

We believe that realizing self-driving cars will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team.
​​

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Link: https://nvidia.wd5.myworkdayjobs.com/en-US/UniversityJobs/job/US-CA-Santa-Clara/Software-Engineer---Autonomous-Vehicles-Simulation---New-College-Graduate_JR1912414-2
CUDA Libraries Engineer - New College Grad
NVIDIA
We are now looking for a CUDA Mathematical Libraries Engineer - New College Grad:

NVIDIA is hiring software engineers for its GPU-accelerated high-performance computing (HPC) mathematical libraries team. Academic and commercial groups around the world are using GPUs to revolutionize scientific and high-performance computing, and data analytics, and to power data centers. Did you know GPU accelerated mathematical libraries developed by NVIDIA are using in various industries and research areas including but not limited to healthcare, VR, deep learning, autonomous vehicles? If this excites you, come join our dynamic team and help us build GPU accelerated software libraries which is used by the entire world.

In this role you will be interacting and collaborating with internal stakeholders, industry professionals, the scientific community, and members of the open source software community to define and implement highly optimized new numerical, and analytics algorithms. Your responsibilities include definition of public APIs, implementation of new algorithms, performance tuning and analysis, and other general software engineering work. You will need great interpersonal and communication skills and a strong focus on delivering high-quality and performance software.

What you’ll be doing:

Research, prototype, and develop numerical algorithms for data analytics, high-performance and scientific computing.
Analyze the performance of GPU or CPU implementations and find opportunities for improvements and implement them.
Collaborate with internal and external partners to understand software use cases and requirements.

What we need to see:

Masters, PhD, or equivalent experience in Computer Science, Applied Math, or related field.
Experience with low level programming in C or assembly.
Exposure to floating-point arithmetic and numerical error analysis.
Deep understanding of algorithms and mathematical fundamentals.
Self-motivated and takes pride of quality of own work.
Good teamwork, communication, and documentation habits.

Ways to stand out from the crowd:

Experience developing and optimizing mathematical libraries.
Good skills in debugging, profiling, and testing numerical software.
Knowledge of CPU or GPU hardware architecture.
A scripting language, preferably Python.
GPU programming experience (CUDA or OpenCL) is desired but not required.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Link: https://nvidia.wd5.myworkdayjobs.com/en-US/UniversityJobs/job/US-CA-Santa-Clara/CUDA-Libraries-Engineer---New-College-Grad_JR1912615-1
ROBOTICS/AI RESEARCH AND DEVELOPMENT ENGINEER
NVIDIA
For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass PC games, movie production, product design, medical diagnosis, scientific research and most recently, Deep Learning and Robotics AI. There has never been a more exciting time to join our company.

Do you love Robots? Are you passionate about AI? Do you want to find a way to bring both of these fields together?

The Project Isaac team at Nvidia is building the world’s state of the art platform for development of next-generation artificial intelligence for robotic systems. We are now looking for specialists in Robotics and related fields to drive the development of our next generation of intelligent machine systems. Our group has roles on that include research, applied research, engineering and product development.

WHAT WE NEED TO SEE:
- BS/MS/PhD with 12 years experience in: Computer Science, Computer Engineering, Electrical Engineering, and/or Interdisciplinary Robotics, Computer Vision or Machine Learning (MS/PhD)
- You have a passion for Robotics, AI and Deep Learning
- You are experienced with C++, Python, and/or CUDA
- You have excellent software development, optimization, and debugging skills

WAYS TO STAND OUT FROM THE CROWD:
- You have publications and/or patents in similar fields
- Mathematics
- You have worked with DL frameworks: TensorFlow, Theano, Keras, etc.
- Explore to Game Engines, Graphics, Virtual Reality
- You are a skilled communicator
- You are able to travel for on-site visits with developers and for conferences.

What will make this intelligent industrial revolution possible? A new computing model — GPU deep learning — that enables computers to learn from data and write software that is too complex for people to code.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. Come, join our Deep Learning Automotive team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Link: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/ROBOTICS-AI-RESEARCH-AND-DEVELOPMENT-ENGINEER_JR1911879
staff algorithm engineer
Alibaba Group
Responsible for the R&D of alibaba product search ranking team, developing new techniques for better understanding the query intention and improving search relevance, revenue and user experience
- Provide technical leadership to guide the direction of Alibaba product search.
-Master or PhD degree in computer science, electrical engineering, statistics, mathematics, or equivalent field;
-Passionate about technology, demonstrated ability to generate new ideas and innovations;
-Solid theoretical foundations and industry experiences in machine learning, information retrieval, natural language processing, recommendation system or related areas;
-Excellent in self-learning, problem analyzing and solving;
-Proactive, strong teamwork spirit and communication skills.
-Work at Seatle or Hangzhou

———————————————————————-
Alibaba's search & recommendation platform supports all search and recommendation products including Taobao, TMall, YouKu, as well as other oversea products. Our platform supports complex deep learning networks, models with size over TB. We optimize for ultimate efficiency through heterogenous hardware. We drive the development of real time data processing and efficient training for deep learning models. Most importantly, Alibaba's Search Division develops state-of-the-art algorithms. Our division actively drives Alibaba's business revolution with world leading technologies.
Research Scientist
Adobe Research
Adobe Research is looking for full-time scientists and engineers who are excited to advance the state of the art in technologies of interest to Adobe and the research community at large: Deep Learning; Computer Graphics; Computer Vision and Image Understanding; Advanced Image Processing; Computational Imaging; Audio; Video; HCI and Social Computing; 3D Modeling and Rendering; 3D Scanning and Appearance Acquisition Hardware and Algorithms; Computational Photography and Next Generation User Experiences; Machine Learning; Pattern Recognition; Natural-Language Processing and Interfaces; Virtual Reality Systems; Artificial Intelligence; Security; Information Visualization; Programming Languages; Statistical Modeling and Inferring; Information Retrieval; Large Scale Distributed Systems and Cloud Computing; Econometrics and Quantitative Marketing; Applied Game Theory and Mechanism Design; Web Analytics; Data Science; Operations Research and Optimization.
Link: https://research.adobe.com/positions/join-adobe-research/
AI engineer/scientist for modular robots
Erle Robotics
Erle Robotics (bought by the Swiss Acutronic Robotics) is a basque startup with technical headquarters in the lovely Vitoria-Gasteiz, Spain. We currently are looking to expand our “AI team” with talented people. We are looking for someone who knows C++, Python, DL frameworks, likes math and AI, and loves to be part of changing the way robots are built today. We offer competitive salaries and lots of perks. If you think you are a match come talk to us at ICLR and see what we can offer to you.
Link: erlerobotics.com
Machine Learning Researcher
Borealis AI
What’s the opportunity?

Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We’re a lab that supports open academic collaborations with leading universities in Canada and the US on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NIPS, ICLR, ICML, CVPR and more.

Your responsibilities include:

● Performing literature reviews in areas of focus and presenting state-of-the-art findings to the team.
● Conducting original research in Deep Learning, Reinforcement Learning, Unsupervised Learning, Time-Series Analysis, Natural Language Processing, Optimization, Visualization and more.
● Formulating and testing hypotheses quickly and efficiently.
● Drafting, editing and publishing academic papers in leading scientific conferences.
● Collaborating with RBC’s data scientists over the use of novel ML algorithms for data analytics
● Working with the development team to transfer research results into production.
● Teaching team members about latest developments in Machine Learning.

You’re our ideal candidate if you have:

● A passion for data, algorithms, and statistics.
● A PhD or MSc. in computer science, engineering or another mathematically related field (e.g. Physics, Math, Statistics, etc.).
● Experience with writing modular, robust, scalable software in Python 3.x.
● Familiarity with the Unix command line and bash scripting.
● Proficiency with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch.
● Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases.
● The ability to frame problems, research solutions, and successfully apply generalizable models.
● A deep understanding of machine learning algorithms and/or statistical modeling.
● Have experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision and/or Reinforcement Learning.
● Publications in fields relevant to data science or machine learning.

How to apply:

● Please email your CV and GitHub (or equivalent) portfolio to mi.research@borealisai.com
Link: Borealisai.com
Applied Machine Learning Researcher
Borealis AI
What’s the opportunity?

Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

As an Applied Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We’re a lab that supports open academic collaborations with leading universities in Canada and the US on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NIPS, ICLR, ICML, CVPR and more.

Your responsibilities include:

● Exploring, characterizing and employing data in order to solve challenging open problems.
● Developing and implementing state-of-the-art machine learning techniques.
● Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences.
● Performing literature reviews and maintaining cutting-edge expertise in machine learning, data modeling, and statistical methods.
● Attending, participating in and conducting workshops on various machine learning topics with the team.
● Identifying new technologies as they become available, and disseminating them to the RBC innovation teams.
● Collaborating with team members to conduct original research in machine learning.
● Drafting, editing and publishing academic papers in leading scientific conferences.
● Participating in Proof of Concept projects.

You’re our ideal candidate if you have:

● A passion for data, algorithms, and statistics.
● A PhD or MSc. in computer science, engineering or another mathematically related field (e.g. Physics, Math, Statistics, etc.).
● Experience with writing modular, robust, scalable software in Python 3.x.
● Familiarity with the Unix command line and bash scripting.
● Proficiency with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch.
● Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases.
● The ability to frame problems, research solutions, and successfully apply generalizable models.
● A deep understanding of machine learning algorithms and/or statistical modeling.
● Have experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision and/or Reinforcement Learning.
● Publications in fields relevant to data science or machine learning.

How to apply:

Please email your CV and GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.


Link: Borealisai.com
VP of Deep Learning (Vision)
Focal Systems
Founded out of Stanford's Computer Vision Lab, Focal Systems is the leader in Deep Learning Computer Vision for Retail Automation.

We have offices in SF, NYC, and Toronto.

This role reports directly to the CEO.

$120k-$250k salary and equity 0.1%-1.25%.

Responsibilities include managing the entire Deep Learning team, building new pipelines for out of stock detection, traffic measurement, loss prevention, and automated checkout. The role may require travel to Australia and Europe.

Requirements:
5+ years researching Machine Learning/Deep Learning
Experience managing a team and a product roadmap
Accepted papers in premier journals
Some industry experience
Expert knowledge in tensorflow or pytorch
Expert in Deep Learning Computer Vision


Link: Focal.systems
Deep Learning Engineer (Vision)
Focal Systems
Founded out of Stanford's Computer Vision Lab, Focal Systems is the leader in Deep Learning Computer Vision for Retail Automation.

We have offices in SF, NYC, and Toronto.

This role reports directly to the VP of Deep Learning.

$100k-$250k salary and equity 0.1%-1%.

Responsibilities include contributing to the Deep Learning team in weekly sprints, training models, preparing data, building new pipelines for out of stock detection, traffic measurement, loss prevention, and automated checkout. The role may require travel to Australia and Europe.

Requirements:
5+ years researching Machine Learning/Deep Learning
Experience managing a team and a product roadmap
Accepted papers in premier journals
Some industry experience
Expert knowledge in tensorflow or pytorch
Expert in Deep Learning Computer Vision


Link: Focal.systems
PhD Curiosity-driven Deep RL with Minecraft @inria and @microsoft
Inria
We are searching for excellent applicants for a PhD on curiosity-driven Deep RL, with a focus on generalization and transfer across many tasks. Experiments will leverage the Malmo/Minecraft platform. PhD located at Inria Bordeaux, France, co-supervised by Pierre-Yves Oudeyer (Inria) and Katja Hofmann (Microsoft). Includes collaboration with Microsoft research labs in Cambridge, UK.
Link: http://www.pyoudeyer.com
Sr Machine Learning Developer
SAS
Overview

Do you want to research new machine learning algorithms and turn them into production in our leading data mining and machine learning software? Are you a lifelong learner who strive for growth in your technical skills? Are you curious about new technologies in Machine Learning and AI? Can you come up with new solutions to challenging problems? Are you passionate about implementing high-quality, highly scalable algorithms? Can you deliver work on time in a fast-paced environment?

If so, join us on the AI and ML algorithms group as a Machine Learning Developer; an innovative and growing part of SAS Institute Inc. We are a group of Research and Development machine learning scientists/engineers and statisticians who researches new, state-of-the-art machine learning algorithms and turns them into production software. Our team consists of people from different backgrounds and a variety of professional experiences. Diversity helps us to look at the challenging problems from different perspective. We learn from each other and support each other every day.

We are working on a variety of exciting projects, including automated and explainable AI, and we are looking for experienced machine learning developers with a strong analytical background and excellent programming skills to work with us. We’re not looking for a machine learning developer to simply develop algorithms but rather a creative and passionate engineer and scientist who wants to touch every aspect of machine learning by developing automated and interpretable algorithms that can change the world.

We’re looking for a Machine learning scientist to help us execute on our vision. You will lead and help drive the technical decision-making process and develop innovative deliverables for the entire development team.

Essential Qualifications

PhD. in Computer Science, Electrical engineering, Statistics, Operations Research, Mathematics or related field
3+ years of industry or academic experience in Machine Learning, Data Mining and Statistical Models
Strong knowledge in machine learning algorithms from an implementation standpoint.
Proficient in C/C++ programming, understanding data structures and distributed computing
Excellent communication skills and the desire to work in a dynamic and collaborative environment
Strong analytical and creative problem-solving skills
Preferences

Experience Automated Machine Learning and Model Interpretability
Strong knowledge in Feature Learning, Feature Extraction and Feature Selection algorithms
Knowledge in model assessment methods
Strong publication record in top machine learning conferences (e.g. NIPS, ICML, KDD)
Ability to implement distributed, parallel algorithms
SAS looks not only for the right skills, but also for a cultural fit. We seek colleagues who will contribute to the unique culture that makes SAS such a great place to work. We look for the total candidate: technical skills, culture fit, relationship skills, problem solvers, good communicators and, of course, innovators. Candidates must be ready to make an impact.

Additional Information:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. The level of this position will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.


Link: https://careers-sas.icims.com/jobs/13309/sr-machine-learning-developer/job?hub=9&mobile=false&width=1180&height=500&bga=true&needsRedirect=false&jan1offset=-300&jun1offset=-240
AI Algorithm Researcher/Developer
SAS
Here at SAS we make lives better through analytics. Our tools and solutions give the power to know. In AI algorithms group we are transforming SAS with the power of AI. We are putting AI at the heart of our products.

Reinforcement Learning is pushing the boundaries in AI. This is an area at the forefront of the cutting edge. If you want to work on projects with high impact and visibility … If you are a passionate, curious and creative mind … If you want to extend the theory while innovatively implementing applications … if you want to be a part of the Company that revolutionizes the business through embedding AI … join us in Reinforcement Learning Algorithms Group to solve challenging real-life problems.

Our projects are from a variety of exciting application areas that require a diverse set of approaches. We are expecting you to put your expertise on the table and make fundamental contributions.

Responsibilities:
· Learn, explore, and research new machine learning algorithms in the field of Reinforcement Learning.
· Develop state-of-the-art, multi-threaded and distributed algorithms in C/ C++ in an agile manner.
· Implement prototypes of existing algorithms and new ideas in a higher-level language like Python.
· Deliver code that accomplishes defined objectives for production.
· Stay informed on new developments in machine learning in both academia and industry.
· Actively participate and present in machine learning/ data mining/ data science conferences about our algorithms.
· Write papers and user documentation to promote the use of our methods and software.
· Communicate with other SAS professional staff in Testing, Technical Support, Education, Marketing, and other departments
Essential Requirements
· Ph.D. in Machine Learning, Computer Science, Statistics, Operations Research, Mathematics or a related field.
· 3+ years of industry or academic experience in Machine Learning, Optimization or Data Mining and Statistical Models.
· Strong knowledge in machine learning especially reinforcement learning algorithms from an implementation standpoint.
· Strong knowledge of foundations of sequential decision making, Markov Decision Processes, Stochastic Processes and optimization.
· Solid knowledge of software development techniques, languages, and tools.
· Proficient in C/C++ programming, understanding data structures and distributed computing. Excellent communication skills and the desire to work in a dynamic and collaborative environment.
· Strong analytical and creative problem-solving skills.
· Experience in open source Machine Learning tools like TensorFlow, PyTorch, Chainer etc.

Preferences
· Experience in Reinforcement Learning
· Strong publication record in top machine learning conferences (e.g. NIPS, ICML, ICLR, KDD)
· Ability to implement distributed, parallel algorithms


SAS looks not only for the right skills, but also for a cultural fit. We seek colleagues who will contribute to the unique culture that makes SAS such a great place to work. We look for the total candidate: technical skills, culture fit, relationship skills, problem solvers, good communicators and, of course, innovators. Candidates must be ready to make an impact.

Additional Information:
SAS is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. The level of this position will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.


Link: https://careers-sas.icims.com/jobs/13313/ai-algorithm-researcher-developer/job?hub=9
Senior Research Engineer In Computer Vision (Vancouver Canada)
Huawei Canada
• PhD in Computer Science/Engineering specializing in Computer Vision, Machine Learning, or similar fields.

• Hands on experience in designing real-time video processing/computer vision algorithms and applications, e.g., object detection, segmentation, tracking, recognition and prediction.

• Demonstrated projects with deep learning framework such as CNN, RNN/LSTM using Tensorflow, Caffe, and MXNet etc.

• Hands-on experience in GPU optimization (CUDA and/or OpenCL).
Software R&D Engineer - Machine Learning
Circle Cardiovascular Imaging Inc.
Circle Cardiovascular Imaging Inc. is looking for a software R&D engineer/scientist in the field of machine learning. The ideal candidate is someone who is passionate about pursuing new ideas, is strong at solving complex problems and has a willingness to challenge the status quo to create remarkable solutions. The successful candidate will be highly organized, results-driven and effective at presenting intricate ideas and concepts to others.
Link: https://www.circlecvi.com/about/jobs.php
Machine Learning Scientist
HuggingFace
The Company:
HuggingFace is on a mission to build the world’s most used conversational Artificial Intelligence.

We believe that in a few years, everyone will talk to an AI throughout their day, everyday – and the best AI will be the one users have built the most engagement, trust, and emotional connection with.

Our users already exchange one million messages per day with their AIs and the usage is growing fast. We operate on messaging platforms, inside our native apps, and in Voice-first products. We are lucky to have awesome investors (we are backed by the first investors at Instagram and Snapchat) who support us fully in our vision.

The opportunity:
We are looking for a Machine learning scientist to join our Science team and help us scale our Natural language processing (NLP) and ML (Vision, Speech) efforts to build the best conversational Artificial intelligence.

Your task will be to make our NLP stack and models 10x smarter. You’ll be able to train on our large scale conversation dataset (+100M messages), and you’ll see the output of your work in production, used by real users, in almost real time (we ship NLP models every week).

Along the way, you’ll also publish open source implementations and contribute to the state-of-the-art in academic research in Machine learning. In 2018, our team already got papers accepted in several top conferences like ACL and ICLR, and we are on track to be featured in several other top AI/ML venues this year.

What You’ll Do:
● Design and implement cutting-edge NLP models.
● Work with our engineering and product team, deploy those models in production to our conversation stack, and monitor and analyse their results.
● Along the way, publish some kick-ass research papers in top-tier conferences.

Who You Are:
● MSc. or PhD in Computer science, engineering or a related field (Math, Physics, Statistics, …).
● Vision alignment: you believe everyone will talk to an AI everyday in 5 years and you are passionate to work hard to achieve this vision.
● Proficient in Python and at least one ML framework: PyTorch or Tensorflow.
● Familiarity with recent deep-learning technics in NLP: RNN, CNN, attention-based models, embeddings (the content of Richard Socher’s Stanford class for instance)

Optional but appreciated:
● Familiar with more classical NLP tasks and tools: syntactic and semantic parsing, semantic relations extraction (openIE), co-reference resolution, entity recognition
● Knowledge of C/C++ and Carnegie Mellon’s DyNet framework would also be appreciated

We want to develop a strong culture of ownership where all team members are top-level builders and doers (no long meetings here!). We’ve done other startups in the past, so we want to always find the intersection between what makes you most excited, and what makes sense for the company.

This is a full time salaried position, including competitive salaries, stock options and health insurance.

How to apply:
Send me a CV and portfolio (GitHub or equivalent) at thomas@huggingface.co
Also, don’t hesitate to ping me (Thomas Wolf) at ICLR to talk about we are doing at HuggingFace.
Link: HuggingFace.co
Security Scientist (Sunnyvale) Secure Deep Learning
Baidu USA — X-Lab
We are looking for talented researchers with the passion and the experiences necessary to solve security challenges. The ideal candidate would be specialized in deep learning/machine learning and is expected to explore hidden vulnerabilities in deep learning, design and develop techniques to improve robustness of deep learning algorithms. The candidate is also expected to have hands on experiences on computer vision, and strong abilities to write high quality code in C++ and python. ( rust would be a strong plus)
Biomedical Data Scientist
Children’s Hospital Of Philadelphia (CHOP)
Make new kinds of breakthroughs in child health at CHOP. 15 years of EHR, imaging, and biological data for 2.6M patients (and growing). Immediate research projects in computer vision, event detection, signal processing. We translate discoveries to care through decision support apps that go through related cognitive informatics and HCI research programs
Machine Learning Scientist (Quantitative Finance in Princeton, NJ)
Edgestream Partners LP
We seek highly skilled scientists interested in applying advanced mathematical modeling techniques to trading in world financial markets. The research group at Edgestream consists of a small team of Ph.D.s who perform statistical, information theoretic, and algorithmic research as well as engineer the computational infrastructure of a quantitative hedge fund.

We are a fully research-driven company and every member of the research staff has an opportunity to contribute directly to the company's bottom line.

No knowledge of finance is required.

The ideal candidate:

Has a Ph.D. in Mathematics, Computer Science, or the Physical Sciences
Is comfortable with programming and complex data
Has a demonstrated ability to successfully conduct top-level research
Can clearly communicate results and collaborate with others
The research group uses Python and Cython on Linux to develop mathematical models for global systematic trading. We use open-source tools as much as possible, with numpy, git, and of course Python all being crucial to our business. We are looking to hire someone who wishes to stay with us for the long haul and to help us grow our business.

Our firm is not your typical Wall Street concern, but instead is a small group of former scientists and engineers with a unique approach to global markets.

Some of the benefits of working at Edgestream:

Awesome colleagues
Competitive salary
Performance-based discretionary bonus
401(k)
Excellent health and dental insurance with 100% of premiums paid by Edgestream - for employees and their immediate family
Catered lunches, four days a week
Free on-site gym
Please send your resume and cover letter to: iclr3@edgestreamlp.com
No telecommuting.
Link: https://www.edgestreamlp.com/career/research-scientist/
AI Researchers, Software and Hardware Engineers
Graphcore
Graphcore are developing new accelerators designed from the ground up to enable the next generation of machine intelligence algorithms. We are looking for talented researchers and engineers to join our teams in Bristol, Oslo and Palo Alto. Come and chat to us at our booth to find out more!
Link: https://www.graphcore.ai/careers
Deep Learning Applied Researcher
Brodmann17 (Tel Aviv)
We are seeking a sharp algorithm developer with a solid understanding in ML, DL and CV. This is a magnificent chance to join a leading technological company from an early stage and make an impact.
Beijing - AI Research Scientist (Oversea Recruitment)
Baidu
The research of Business Intelligence Lab (BIL) primarily focuses on developing effective and efficient data analysis techniques for emerging data-intensive applications. And here’s what you will do:

-Develop and perform cutting-edge research to advance AI state-of-the-art. This includes but not limited to project planning, literature review, and developing proofs-of-concept.

-Design world-leading AI algorithms and models to support the real-world business applications

-Communicate your research both internally among AI researchers and externally through presentations, publications, and open source contributions.

-Engage in team collaborations to meet research goals.
Link: https://talent.baidu.com/external/baidu/campus.html#/jobDetail/1/116820
Computer Vision Algorithm Engineer (Deep learning)
NetEase
1. Participate in algorithm research and system development in computer vision projects, including but not limited to optical character recognition, video analysis, human face detection and recognition, super-resolution imaging, digital image processing, and etc. 2. Based on business requirements, conduct system optimization, system upgrades, algorithm research and evaluation, and system development for certain focused areas in computer vison.
Deep Learning Algorithm Engineer
NetEase
1. Leverage AI technologies, conduct modelling and data analytics on business data, behavioral data, image data, text-based data, time series data, to provide support for business decision-making process, and to promote business development 2. Predict user behavior, improve user experience, explore product value by applying AI technologies in e-commerce, gaming, content consumption, education, anti-cheating software, and etc. 3. Track leading AI algorithm and application trends. Build AI application platform for corporate clients
Research Scientists and Engineers postions at Microsoft Translator Team
Microsoft
If you are interested, come to our booth at 5:30 today. we can chat more.

The Microsoft Translation team is on a mission to enable communication without language barriers. In just the last year we have:
Announced human parity in machine translation for Chinese -> English news translation
Shipped the world’s only pure neural mobile machine translation systems
Shipped Presentation Translator for Power Point
We have openings for bothr research and engineers positions.
Link: https://www.microsoft.com/en-us/research/group/machine-translation-group/
Machine Learner
UnifyID Labs
UnifyID looks at unique behavioral aspects, like the way you walk or the places you go, to authenticate you. It requires no conscious user action or specialized hardware, but is highly accurate.

UnifyID Labs is the research-oriented arm of UnifyID, focusing on research collaborations in the areas of security, machine learning, biometrics, implicit authentication, and human behavior.

We have full-time, internship, fellowship, and residency programs.
Link: https://unify.id/labs/
Machine Learning Engineer - AimBrain @ London
AimBrain
At AimBrain, (www.aimbrain.com) we are revolutionising the way we do authentication.
AimBrain is the mobile biometric authentication platform. The platform consists of three modalities - behavioural, facial and voice.
Join our highly technical founding team as we make biometrics the main authentication method of the future.

For more information visit https://aimbrain.com/join-us
Link: https://aimbrain.com
Machine Learning Engineer
WaveOne, Inc.
Our mission at WaveOne is to develop intelligent transmission of digital media. We are developing state-of-the-art algorithms for content-driven compression of images and video using deep learning. We are currently at our seed stage, backed by top-ranked VCs. We are looking to hire engineers passionate about joining an early-stage startup, and working on problems that have potential of disrupting multiple industry verticals.

On the engineering side our challenges include porting our research prototypes to the cloud as well as to edge devices (Android, iPhone, Movidius chips, etc) and leveraging the available hardware (multiple cores, GPUs, DSPs) to achieve down-to-the-metal performance optimization, as well as develop power-friendly and memory-friendly algorithms.

Requirements:
- Bachelor’s degree in computer science or related field
- Experience in high performance optimization on mobile and/or embedded devices
- 5+ years of expertise in C++ and Python
- Strong communication skills
- Enjoys working in a fast-paced, collaborative environment

Preferred skills:
- M.S. or Ph.D. in computer science or related field
- Prior experience in an early-stage startup
- Machine learning background
- Familiarity with cloud architectures
- Familiarity with TensorFlow
- Strong sysadmin skills and familiarity with Ubuntu, Android, and iOS
- Expertise in video streaming and compression
Link: http://wave.one
ML Researcher
Recursion Pharmaceuticals
Recursion Pharmaceuticals is a drug discovery company leveraging the latest deep learning technology to extract information from over a petabyte of microscopy imaging data in order to change the way the world discovers new medicines. You will work with others on the data, biology and engineering teams to design and train deep CNNs that lift our drug discovery platform to new levels of effectiveness and efficiency.
Link: recursionpharma.com/careers
Senior ML (RL) Engineer
BMW
BMW is looking for a Senior ML Engineer with a focus on reinforcement learning to join its autonomous driving division.
Link: https://www.bmwgroup.jobs/us/en/jobfinder/job-description.180000BA.US.SiliconValley.ResearchDevelopment.AutonomousDriving.html
Applied Research Scientist (Deep Learning Algorithms)
NVIDIA
We are now looking for an Applied Research Scientist (Deep Learning Algorithms):

NVIDIA is searching for a researcher with a strong background in applied math or machine learning to join our Deep Learning Algorithms team. This team develops new algorithms for distributed and parallel training of large deep networks, and for fast real-time inference. You will collaborate with teams that develop new software libraries for machine learning and deep learning, and with teams which will apply your work to self-driving cars, drones and computer vision.

What you'll be doing:
Developing new algorithms and prototyping them for deep learning training and inference
Apply your algorithms to computer vision and autonomous machines
Transfer your technology to other software groups and product teams
Collaborating with DL & AI Researchers in leading universities and industrial research labs
Publish your original research. Present to conferences and customers.

What we need to see:
You have a MS or PhD or equivalent experience in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Math, or related field.
Excellent knowledge of Optimization, Machine Learning, or Computational statistics with 4 or more years of applicable work or research experience.
Strong mathematical background, especially in the optimization theory, stochastic algorithms, and/or numerical methods with a passion for solving hard math problems
Strong C++ and Python programming skills
Previous experience in Reinforcement Learning, Robotics, or Computer vision
Track record of research excellence or significant product development.
Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, global team. Your history of mentoring junior engineers and interns is a huge plus.
GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud. And we create computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots
With deep learning, we can teach AI to do almost anything. New internet services, like Google Assistant, have learned speech from sound and provide a more natural way to access information. Self-driving cars use deep learning to recognize the space the car inhabits, the lanes in which it drives, and the objects it needs to avoid. In healthcare, neural networks trained with millions of medical images can find clues in MRIs that until now could only be found through invasive biopsies. These are just a few examples. AI will spur a wave of social progress unmatched since the industrial revolution.
NVIDIA is widely considered to be one of technology’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of identifying and optimizing the latest AI algorithms to help us grow into new and more pervasive verticals? If so, we want to hear from you.​​

Please use ICLR as source when applying
Link: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Applied-Research-Scientist--Deep-Learning-Algorithms-_JR1914614
Deep Learning Performance Architect
NVIDIA
We are now looking for a Deep Learning Performance Architect:

NVIDIA is seeking extraordinary architects to develop processor and system architectures that accelerate machine learning, data analytics and high performance computing applications. This position offers the chance to create a significant impact in a dynamic, technology focused company.

What you will be doing:
As a member of our deep learning architecture team, you will craft system and processor architectures to extend the state of the art in deep learning efficiency and performance.
Prototype key deep learning and data analytics algorithms and applications.
Analyze trade-offs in performance, cost and power developing analytical models, simulators and test suites.
Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications.
Collaborate across the company to guide the direction of machine learning, working with software, research and product teams.

What we need to see:
You have a MS or PhD in relevant discipline (CS, EE, CE) with 3+ years of relevant work or research experience.
Your resume includes a strong foundation in machine learning and deep learning fundamentals with an expertise in computer architecture.
You have demonstrated fluency in programming languages such as Python, C, C++.
Do you have experience and familiarity with GPU computing and parallel programming models?
Experience with analytical performance modeling, profiling, and analysis.

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by artificial intelligence can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun.

Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, Nvidia’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human creativity and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of GPU. This may explain why Nvidia GPUs are used broadly for deep learning, and Nvidia is increasingly known as “the AI computing company.”

Come and join our DL Architecture team, where you can help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
Link: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Deep-Learning-Performance-Architect_JR1914074
UBC postdoc
UBC
Love Vancouver? Live here! I've just moved from Oxford to UBC and have DARPA funding to support a postdoc to help run my 10 PhD student lab. We're working on AI via probabilistic programming, amortized inference, and deep learning. Get in touch with me if you're interested and available starting late-summer/early-fall.
Link: http://www.ubc.ca
Research Scientist, ML Engineer
Helm AI
Helm.ai is looking for research scientists and ML engineers to join our team of 12.

Helm.ai is a team of elite mathematicians and engineers, building the next generation of AI technology for L4/L5 autonomous driving. Our approach leverages a novel combination of tools from applied mathematics and deep learning to create truly scalable and robust learning pipelines that do not rely on human annotation, to tackle problems across the full spectrum of autonomy, including vision-based perception, sensor fusion, mapping, path planning and control.

To apply, please send your CV or resume to vlad@helm.ai

If you would like to learn more, we are happy to meet you during ICLR
Machine Learning Scientist - Amazon Video
Amazon
Want to watch a movie at the end of a long week, but not sure what to choose? Looking for a new show while you wait for the next season of Game of Thrones to start? So are millions of our Prime Video customers. The Prime Video Relevance team helps customers find relevant videos, channels and topics so they can find content they didn’t even known they were looking for, continuing to surprise them with the depth of our catalog.

We tailor our recommendations through a variety of machine learning algorithms including deep learning neural networks, that you will help define and extend. We are looking for creative, customer and details obsessed machine learning scientists who can apply the latest research, state of the art algorithms and machine learning to build highly scalable recommendation and personalization systems. You'll have a chance to collaborate with talented teams of engineers and scientists to run these predictions on distributed systems at incredible scale and speed.

As a member of the Prime Video Personalization organization, you will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At then of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.

Some examples of the things we work on:
· Using Neural Networks, Transfer and Multi-Task learning, CNNs, and a variety of other Deep Learning techniques to find titles that customers will enjoy
· Build and operate services that deliver millions of recommendations per second
· Extend models and algorithms to support our ever growing ways of consuming content (subscriptions, live, rentals etc), dealing with unique challenges such as observational bias and rapidly scaling dimensions
· Constantly experimenting with changes to the underlying algorithms and models to deliver relevant content to a wide variety of customer experiences

If you are ready to truly make an impact on a product that is used by millions of people around the world, including your own friends and family, then we would love to talk to you.

Feel free to ping me directly over email or Whova
Link: https://amazon.jobs/en/jobs/631434/sr-machine-learning-scientist-prime-video-relevance
Research Scientist
Snap Inc.
Los Angeles - Seattle - San Francisco - New York
Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.

We’re looking for a Research Scientist to join Snap Inc! Working closely with our Engineering team, you will solve interesting technical challenges such as designing techniques to enhance products, deploying algorithms to handle our scale, and improving the experience on Snapchat for millions of people every day.

Beyond the application and interviews, Research Scientist candidates should prepare to provide detailed supporting materials including a research statement, references, biography, and a 60-minute presentation during the evaluation process.

What you'll do:

Develop state-of-the-art approaches to impact products
Evaluate the technical trade-offs of every decision
Introduce major innovations that can result in product features or new areas of business
Collaborate and work with the Research team and others to make important product decisions
What we're looking for:

PhD in a technical field such as Computer Science or equivalent experience
Industrial or academic experience beyond internships or post doctoral positions
Efficient and scalable algorithm design and problem solving skills
A highly innovative, motivated, and self-directed researcher
Experience with projects that could potentially impact our products
Ability to perform research that is justified and guided by business opportunities
Ability to thrive in a fast-paced, ever-changing work environment
Successful record of publication in top-tier international research venues
An individual who gets excited by tough technical challenges
Someone with a collaborative, positive, and team-oriented mindset
Hands-on experience and fast prototyping skills
Demonstrated ability in both research and development


At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at accommodations-ext@snap.com.
Research Scientist
Element AI
The research scientists are working under the leadership of the Chief Science Officer to promote the role of fundamental research to advance AI, and ensure that Element AI has access and contributes to the best science.

Element AI wants to carry out fundamental research that advances the state-of-the-art in AI, unfettered by short-term product or client deliverables.

Researchers have the responsibility to set their own research agendas and are expected to collaborate with their colleagues and the global AI community. It is our philosophy that interaction between Element AI and the research community is a key differentiating factor for the company (non-predatory model, i.e. aiming at collaboration without constraints), therefore we encourage our researchers to publish and develop open solutions.

Our research agenda covers many subjects and, based on your interests and our needs, you could explore generative models, reinforcement learning, natural language processing, constraint programming or a variety of other topics.. You will collaborate closely both with software developers and with scientists. In particular, you'll get the opportunity to interact closely with world-class academics from our Faculty Fellowship program, such as Aaron Courville, Christopher Pal, Simon Lacoste-Julien and Liam Paull. These collaborations will often lead to publications in the most important journals and conferences.

You want to join us because you are passionate about:

- Fundamental research in machine learning
Publishing in the best journals and conferences
- Building strong collaborative relationship with scientists and software developers
- Contributing to the success of a dynamic, brilliant and fast growing start up
- Staying up-to-date on the scientific literature in your field

We want you to join us because you have: (Preferred qualifications)

- A getting-things-done mindset with a desire to push the boundary of fundamental knowledge
- A Ph.D in machine learning, computer science, artificial intelligence or a related quantitative field
- Experience and mastery of scientific programming with at least one of the following programming languages: Python, C++, Scala, Go, C#, F# , JavaScript, Java
- Experience and mastery with libraries relevant to your field for example: Theano, TensorFlow​, NumPy, R, Pytorch etc.
- Experience contributing to research communities and/or efforts, including publishing papers at conferences (such as NIPS, ICML, ACL, CVPR, etc.).
- An open mind and a desire to learn the best language/technology to solve a given problem
- Desire to work in a diversified team

What we offer for your valuable work:

- Highly dynamic, innovative, passionate, intrapreneurial team
- Open and inclusive company culture
- Worldwide competitive salary
- Participation in the company success through the Employee Stock Option Plan
- Participation in company employee benefits program
- Flexible hours (outside of core hours)
- Autonomous, self-managed Agile teams.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Multiple openings at Disney Research
Disney
I am Cengiz, a research scientist from Disney Research. We have several openings at various levels at Disney Research. Don't hesitate to contact me here or at cengiz.oztireli@disneyresearch.com if you are interested. You may find a detailed description here: https://www.disneyresearch.com/careers/open-jobs/ .

Looking forward!.
Machine Learning Engineer
Pragma Trading
Pragma is looking for an individual with strong practical software development skills and a pragmatic, hands-on orientation to focus on applying deep learning techniques to Pragma's agency-style algorithmic execution software and services.

The research and development efforts of Pragma's quant team are central to our trading services, and also benefit from the unique data sets we have access to, including private data feeds and empirical trading results from controlled live trading experiments. Experience with python and deep learning tools is essential.

About Pragma (www.pragmatrading.com)

Pragma is the leading and award-winning independent specialist in multi-asset algorithmic trading technology. Our algorithmic trading software and services power global banks, exchanges, brokers, and hedge funds' internal and client-facing equities, futures, and currencies algorithmic trading capabilities.

Pragma is highly regarded in the industry for its original research notes, which provide accessible but quantitatively oriented insights into market structure and how it affects trading results. Our research and market structure commentary has been featured in the WSJ, FT, Bloomberg, Euromoney, and many other publications.

Pragma's staff of 45 is located in New York City. The company's informal and technology-focused culture is closer to a technology start-up than an investment bank.
Link: www.pragmatrading.com
VP of Engineering
Obsidian Security
Obsidian Security is a new startup focused on applying AI to assist in improving solutions to problems in the computer security domain. Looking for an engineering lead to help bring technology from ideas to market. Ideal fit for candidates looking to join something well funded and early stage.
Link: obsidiansecurity.com
Shenzhen–Computer Vision Engineer (Overseas Recruitment)
Baidu
-Participating in cutting edge research in fine-grained recognition.

-Developing robust fine-grained recognition system.

-Promoting fine-grained recognition project into applications.
Beijing–Machine Learning R&D Engineer (Overseas Recruitment)
Baidu
-Research cutting-edge technology of data mining or statistical learning to solve practical problems

-Research and development the core technology for the applications of large-scale machine learning

-Through the keen insight into the data, dig deep into the potential value and demand of the product to provide the valuable of products and services
Shanghai–Machine Learning R&D Engineer (Overseas Recruitment)
Baidu
-Research cutting-edge technology of data mining or statistical learning to solve practical problems.

-Research and development the core technology for the applications of large-scale machine learning.

-Through the keen insight into the data, dig deep into the potential value and demand of the product to provide the valuable of products and services.
Shanghai–Machine Learning R&D Engineer (Overseas Recruitment)
Baidu
-Research cutting-edge technology of data mining or statistical learning to solve practical problems.

-Research and development the core technology for the applications of large-scale machine learning.

-Through the keen insight into the data, dig deep into the potential value and demand of the product to provide the valuable of products and services.
Sunnyvale-Computer Vision Enginner (Overseas Recruitment)
Baidu
-Participating in cutting edge research in fine-grained recognition.

-Developing robust fine-grained recognition system.

-Promoting fine-grained recognition project into applications.
Data Product Team Lead - Melbourne, Australia
Zendesk
We are seeking an Engineering Team Lead to join our data product team and help nurture and grow the impact Machine Learning has on our business. In this role you’ll provide team leadership, growth and support. You’ll collaborate with Data Science, Product, Design, and Ops to drive product innovation, research and development, working closely with the other teams locally and across the world.

This is a hands-on role, where you’ll spend a good portion of your day in the codebase with the rest working on process improvement initiatives, mentoring and guiding the team’s workflow.
Link: https://jobs.lever.co/zendesk/c07c4dc4-0451-4b54-a11e-be890731770a
Applied AI - Various
Microsoft
Do you want to apply some of the great AI models in NLP and vision to improve people’s lives in real world scenarios?

We’re looking for people across engineering, applied science, and even product management to help make the world smarter and more productive.
Israel - AI scientist at Huawei Research Center
Huawei Research
Huawei Research Center in Israel conducts cutting edge research in artificial intelligence, computer vision, communication and other areas.
Job duties:
Conduct research and development in the areas of machine learning (particularly deep learning)• Design, implement, and invent algorithms, integrate them into prototypes.
Education:
Masters/PhD Degree CS, EE or related field
Programming skills: Python, Matlab, C++
Machine Learning Engineer / Data Scientist
XpertSea
XpertSea is a Canadian technology company that’s transforming how the global aquaculture industry farms seafood. Combining artificial intelligence, computer vision and machine learning, we're building cutting-edge solutions to empower hatcheries, farms and research centres to track and manage their aquatic populations with greater speed, accuracy and insight than ever before. We're currently seeking passionate specialists in machine learning, computer vision and data science.
Link: https://www.xpertsea.com/careers
Principal Engineering Manager
Microsoft Research Montreal
As an Engineering Manager at Microsoft Research Montreal, you will be leading an experienced team of machine learning experts in building Microsoft products and services. You will coordinate between engineering, research and product teams to provide direction, leadership and processes to get research into production. This involves working with cutting edge technology in language understanding and requires knowledge of the latest research in the area. The position’s responsibilities include end to end ownership of several projects from the specification stages all the way into transferring the technology to various product teams within Microsoft. You will be defining projects, schedules, processes, and engineering plans to set up the team for success.
Link: https://careers.microsoft.com/us/en/job/399713/PRINCIPAL-SDE-MANAGER
Deep learning scientist
Microsoft Corp
Great opportunity for doing applied research in program understanding and synthesis; Natural language processing; Graphical neural network applications for the cloud and AI
Researcher in ML for software engineering
Microsoft
If you liked our talk on learning from programs: We are looking for researchers to join our team in Cambridge to work on the intersection of machine learning and programming languages. Come talk to me at our booth or send an email to mabrocks@microsoft.com!
Machine Learning Engineer
Twitter
The job is London based, yet with strong collaboration with global Twitter offices. Possible project directions include: on-boarding, recommendation, event detection.
Link: https://careers.twitter.com/en/work-for-twitter/201804/machine-learning-software-engineer-applied-research0.html
Machine Intelligence Engineer
Merantix
Berlin | Full-Time, Internship, Onsite, Visa assistance

Merantix conceptualizes, builds and scales AI ventures. Our team is made up of entrepreneurs, scientists, physicians and engineers from premier universities in Europe and North America. We’re based in Europe’s startup capital, Berlin, and are growing quickly!
We are looking for Machine Intelligence Engineers to join our core team to help us develop impactful applications of machine learning across a range of fields. See link for details.
Link: https://merantix.bamboohr.co.uk/jobs/
Research Scientist and Engineers at Microsoft
Microsoft
If you are interested, come to our booth at 5:30 today. we can chat more.

The Microsoft Translation team is on a mission to enable communication without language barriers. In just the last year we have:
Announced human parity in machine translation for Chinese -> English news translation
Shipped the world’s only pure neural mobile machine translation systems
Shipped Presentation Translator for Power Point
We have openings for bothr research and engineers positions.
Senior Machine Learning Scientist
MGH & BWH Center for Clinical Data Science
Machine learning is on the verge of transforming healthcare, and CDDS is at the forefront of this revolution. We are a fast-paced start-up embedded in two of the nation’s leading research hospitals, backed by industry partners like Nvidia and GE Healthcare. We have access to millions of medical records, an on-prem GPU cluster, and a top-tier team from industry and academia. We work closely with clinicians to solve critical problems in patient care – our goal is to make real products that make a real difference in the hospital.
Link: CCDS.io/jobs
Cortexica, London - Applied Research Position
Cortexica Vision Systems
We are a research-focussed Computer Vision company in London. We are looking for an applied researcher to do hand-on working on embedded GPU computing for video processing applications. Deep learning experience is preferred.
For further information you can reach me or email eduard.vazquez@cortexica.com
Link: www.cortexica.com
Quantum Reinforcement Learning Scientist
1QBit
Expert in Reinforcement Learning and curious about Quantum Computation? Apply for a Reinforcement Learning Scientist position at 1QBit.

As a member of our R&D Team, you will work with people from across multiple disciplines, utilizing your background in reinforcement learning to address a wide range of the world’s most challenging computational problems. You will have the opportunity to work with computer scientists, quantum information scientists, and physicists experimenting with the world’s most advanced quantum computing hardware prototypes to develop novel quantum algorithms for revolutionary artificial intelligence applications using the emerging paradigms of quantum computation. At the core of this role, you will have the opportunity to invent, design, implement, and analyze hybrid quantum–classical algorithms in reinforcement learning.
Link: https://1qbit.com/careers/current-openings/jobs/1145300/?gh_jid=1145300
ML Scientist / Intern
Arterys
Arterys is working on applying artificial intelligence to create algorithms that will impact the lives of millions of people. We are looking for passionate and talented deep learning experts to advance the field of medicine. You will be responsible for developing novel deep learning-based approaches to automate radiology, disease diagnosis, and preventative medicine.

Availability: San Francisco, Calgary, or Remote
See https://arterys.com/careers for more details.
Link: http://www.arterys.com
Machine Learning Engineer
ZestFinance
Founded by former Google CIO, Douglas Merrill, ZestFinance is transforming the credit underwriting space by making fair and transparent credit available to everyone. We're looking for folks who want to leverage the latest field research and apply it to credit risk problems related to model explainability, robustness, and performance. Enjoy the freedom and support to follow your interests in an area that offers incredible potential -- all while soaking up the warm So Cal weather (LA based).
Link: www.zestfinance.com
ML Research Mgr/ Scientist/ Engr @ Verisk AI | NY | Munich | India
Verisk Analytics
The AI Innovation Lab at Verisk Analytics has multiple openings at all levels – internships, postdocs, engineers, scientists, managers, in the areas of AI and big data (deep) machine learning for applications in computer vision, text analytics, speech understanding as well as for other structured and unstructured data.

We seek qualified, highly motivated candidates interested solving pure and applied research problems in (not limited to) the above areas and their application to solving business problems.

Link: https://www.linkedin.com/in/maneesh-singh-3523ab9
Deep Learning / Computer Vision R&D | Berlin (Germany) | Full time
Siemens (Siemens Mobility GmbH)
If Europe and Berlin are tempting you and you're interested in helping cities through Computer Vision and AI, let's talk in between sessions.

Siemens (Mobility) is looking for Deep Learning researchers with engineering chops or engineers with a strong research side. We deal with AR tools, ADAS, video analytics...

Ping me on Whova for details.
NLP Algorithm Engineer
NetEase
1. Lead research efforts into the applications of NLP technologies, including automatic question answering, chatbot, natural language understanding, and etc.
2. Lead core technology development and advanced algorithm research. Develop on-line services based on product requirements to promote business development.
Machine Learning Research
Connor, Clark and Lunn Investment Management
Have experience with NLP or ML applied to noisy time series?

If you're interested in chatting informally about opportunities in quantitative equity investing, based here in Vancouver, please reach out on Whova or at my email below.

Enjoy the conference!
Link: https://www.cclgroup.com/cclim/en
NLP/QA/Dialog Researcher and Engineer
Microsoft
Hi, we are looking for researcher and engineer to work on multi-turn chatbot. This job will involve deep learning, NLP, contextual bandit, RL, QA. the location is Redmond, WA in US. If you have interests, please feel free to reach me via wzchen@microsoft.com.
Researcher in Deep Learning and Reinforcement Learning (multiple positions)
Naver Labs Europe
Full description here:
http://www.europe.naverlabs.com/NAVER-LABS-Europe/Jobs/Researcher-in-Deep-Learning-and-Reinforcement-Learning-multiple-positions
Concepteur technologique, intelligence artificielle, innovation - Région de Montréal
D-BOX
Venez concevoir et développer des applications pour lesquels l'innovation a un rôle pondérant, dans des domaines comme la recherche en apprentissage profond, l'analyse de films et médias ou la génération de signaux. D-BOX redéfinit et crée des expériences de divertissement immersifs hyperréalistes en faisant bouger le corps des spectateurs et en stimulant l'imagination de ces derniers grâce à sa technologie de mouvement. Vous êtes curieux(se)? Contactez-moi et je vous ferai parvenir plus de détails en privé...
advanced research internships
Omron SINIC X
Please refer to the following details:

https://www.dropbox.com/s/si6thlyybjy0787/Advanced_Research_Internships_OMRON_SINIC_X_Corp.pdf?dl=0
Machine Learning Framework Engineer
Graphcore Ltd
Main focus: Our IPU platform is designed to be targeted by machine learning frameworks such as Tensorflow, MXNet, Caffe2, CNTK and PyTorch. This role involves understanding the implementation of these frameworks at a deep technical level. This role focuses on the integration of the IPU and Poplar platform into these frameworks.

Ideally candidates will have experience of developing machine learning frameworks, but it is not essential. Strong C++ development ability along with an understanding of how these frameworks target existing technologies such as a GPU would be useful. Developers will be expected to gain a deep understanding of the Poplar framework and the functionality provided by its application libraries, quickly upon joining Graphcore, in order to integrate it into machine learning frameworks. Fundamentally, this role provides an
opportunity to work on adding advanced hardware support to software platforms used by many of the worlds largest companies.
Link: https://www.graphcore.ai/careers
Machine Learning Systems Developer
Graphcore Ltd
Main focus: Developing and maintaining the infrastructure for internal and public cloud based high performance machine learning compute clusters.

Candidates should have experience in systems adminstration and/or
devops. Candidates who have worked on large scale HPC systems or data
centers are particularly suited to this role.
Link: https://www.graphcore.ai/careers
Software Platform Engineer
Graphcore Ltd
Main focus: Working on tools, libraries and drivers to target our new IPU hardware platform efficiently. The software stack involves a mix of low level coding and drivers, toolchain component (compilers, assemblers, linkers etc.) and libraries to target multiple processors working in parallel.

As the software stack crosses many different domains a good candidate may come from many different backgrounds (toolchain developers, HPC developers, DSP engineers, other application developers). Understanding of machine learning is desirable but not essential.

Fundamentally, this is a coding role so being comfortable with programming and having the skills to cope with new issues is paramount. C++ experience is ideal. PhDs in relevant areas count as good experience.
Link: https://www.graphcore.ai/careers
FPGA/ASIC Design Engineer
Graphcore Ltd
As a FPGA / ASIC design and verification engineer, you will be working as part of Graphcore’s engineering team in Oslo developing Graphcore scale out technology for our Intelligence Processing Unit (IPU). In your work you will interact closely with the software and hardware teams to develop core IP and related components for our scale out solution.

In this role, you will be responsible for advanced random based test bench development as well as design of IP and verification IP targeted for high-end state of the art FPGA or ASIC based solutions. This includes development of high speed interconnect IP for our AI/ML scale out technology, and development of verification transactors and integration with library components for a System on a chip (SoC).

Candidates should have a solid background and expertise in FPGA/ASIC design and verification methods, preferably Verilog/System Verilog/VMM/UVM and a good understanding of computer architecture in general. Knowledge of PCIe, High-Speed Ethernet, and RoCE/IB, protocols will be an advantage. Experience with System On a Chip design and embedded processor integration will also be a plus. The position will work in a strong team in close interaction with colleagues in Bristol.

This is a full time role based in Oslo (Norway).

Graphcore is an equal opportunity workplace and we would like to hear from all qualified applicants. If you have a disability or any special needs that we might need to accommodate, please just let us know.
Link: https://www.graphcore.ai/careers
Field Applications Engineer
Graphcore Ltd
As an FAE, you will be working closely with Graphcore’s customers and partners as their primary technical interface as they integrate our Intelligence Processing Unit (IPU) technology into their systems. In your work you will engage with leading hardware manufacturers, automotive companies and some of the world’s largest cloud and internet companies.

You will need to develop a deep understanding of our IPU platform and associated hardware and software requirements. The role will include product positioning and acting as a technical consultant to our key customers through architectural evaluation, integration of our technology into their designs and support through production deployment.

Candidates should have related experience in a design or technical support role in the high tech electronics industry and must have an interest in working directly with customers. Previous experience of implementing software requiring a solid understanding of both the algorithm and application domains and the performance of an underlying hardware system is useful.
Link: https://www.graphcore.ai/careers
Deep Learning Scientist
AdeptMind
What You’ll Do:

- Research and contribute to publications
- Assist in prototyping, training, evaluating, and productionizing machine learning models
- Developing new software libraries for machine and deep learning

​You should be able to check off most things from this list:

- PhD in computer science with specialization in machine learning or deep learning
- Demonstrated ability to work in a cross-functional, fast-paced environment
- Prior experience in applying machine learning techniques to research

​Nice to haves:

- Mastery of machine learning concepts
- Strong programming ability in Python (strong ability in C++ a plus)
- Experience with TensorFlow, Keras, PyTorch, or similar framework
- Strong grasp of scientific method and hypothesis-driven investigation
- Good communication and collaboration skills

Perks

- Competitive salary commensurate with experience/qualification: CA $140,000-$200,000 + equity
- Smart and knowledgeable colleagues
- And of course, catered meals managed by food experts

About AdeptMind

Adeptmind is an AI company innovating in e-commerce search using active learning and deep learning. We're the first company boasting 100% accuracy in our results!

Our co-founders recently came out of a quite successful sale of their previous company. This time around, they raised a little too much VC capital and are looking to grow a kick-ass Silicon Valley style team right here in downtown Toronto.

Our current engineering efforts focus on vertical expansion: building more tools and services. Current projects ranges from creating internal service to providing command line utilities as well large scale crawling and data processing.

Of course, life in a young startup can get hectic. Above all, our people matter to us. We truly focus on being a platform on which we the people become the best we can be. We actively hold technical seminars, send our people to conferences and conduct academic research. Of course, a company cannot grow until the people can.

We also offer:

- Equity
- Visa sponsorship
- Relocation assistance

Link: http://adeptmind.ai
Multiple Offerings in RL and DL
Ascent Robotics, Inc, Tokyo
Hiring across all positions in our Tokyo-based Robotic Control / Self-Driving Co. Research, publish and implement RL and generative models for autonomous control solutions. Check our website for a full list and applications. www.ascent.ai If you are at ICLR please email me directly.
Research
● Computer Vision Engineer
● Machine Learning Engineer
● Research Engineer
● Research Scientist
Engineering
● Embedded Software Enigneer
● Internship
● Robotics Engineer
● Software Engineer
Link: www.ascent.ai
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