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ML Engineer
The Mosaic Company
As our Machine Learning Engineer (MLE) on the Digital Strategy Operational Excellence team in our North America Business, you will support the machine learning pipelines and maintenance that scale up to deliver on our AI solutions that have direct impact on our mining/chemical operations. Every day you will have the opportunity to interact with a variety of disciplines such as engineering, IT, product owners, and operations. As the MLE you will be responsible for adhering to our standards and implementing robust lifecycle management of our AI solutions such as model development, staging, new releases, performance monitoring, and troubleshooting.To thrive in this role you must have an innate passion for identifying cause and effect in data with the ability to adapt to a continually changing business and work environment and manage multiple priorities.
Research Scientist @ Netflix Research
Netflix
We are looking for an exceptional applied research scientist to help us develop the technology that would power the search and recommendations experiences. Innovation on those experiences requires a great blend of creative thinking and applied research at the intersection of Machine Learning, Information Retrieval, Knowledge Graphs and NLP, as well as Human-Computer Interactions.

In this role, you will conduct applied research by conceptualizing, designing, implementing, and validating potential algorithmic improvements. This includes researching and applying cutting edge machine learning algorithms, running offline experiments, and building online A/B tests to run in production systems. To be successful in this role, you need a strong machine learning background, solid software development skills, a love of learning, a passion for solving end-user problems and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a dynamic environment.

Required Qualifications

* 5+ years of research experience with a track record of delivering quality results.
* Expertise in machine learning spanning supervised and unsupervised learning methods.
* Experience in successfully applying machine learning to real-world problems.
* Strong mathematical skills with knowledge of statistical methods.
* Strong software development experience in languages such as Scala, Java, Python, C++ or C#.
* Great interpersonal skills.
* Strong communication skills - written and verbal.
* PhD or MS in Computer Science, Statistics, or related field.
Marketing Data Scientist
Bandai Namco
PAC-MAN to Tekken, Tamagotchi to Dark Souls, we are a games company steeped in history and BANDAI NAMCO Mobile is the exciting new pillar of the BANDAI NAMCO Group’s mobile strategy, to grow from the #5 global mobile publisher to #1!
We offer a truly flat structure, full role autonomy and the creative freedom of a start- up, whilst still having the legacy, resources and stability of BANDAI NAMCO, a global gaming powerhouse. Our goal in Barcelona is to enrich BANDAI NAMCO’s list of successful IP’s by creating original and innovative mobile games.

As part of the marketing team, you will be working on some of Bandai Namco’s most prestigious, global IPs such as DRAGON BALL LEGENDS and ONE PIECE TREASURE CRUISE, as well as future IPs developed by our Internal team in Barcelona. We favour small teams, to remain as agile as possible in an ever-changing market. Advocating innovation over repetition as we aim to accelerate Bandai Namco to the world’s #1 Publisher.

Marketing Data Scientist

We are looking for a Marketing Data Scientist to join our growing team. You will be responsible for answering complex business problems by modeling data and finding insights that can help us measure and improve the ROI of our marketing campaigns where last-click attribution and A/B testing may not be possible.

With your strong data science and engineering background, you will work with your marketing data peers to build best-in-class forecasting, uplift, and media mix models as well as to create tools for self-service analytics, while advising the marketing team on how they can improve their decision-making using data.

You will need to demonstrate the ability to understand and adapt quickly to changes in advertising, regulations, and consumer behavior.

**If you are interested, let’s grab a coffee and chat about the position**
Link: https://www.bandainamcomobile.com/jobs/1968026-marketing-data-scientist
Software Development Engineer - ML
Amazon
This role is for an engineer in the Machine Learning Optimization (MLO) team for the Amazon Demand-Side-Platform (DSP). Amazon DSP is an online advertising system that matches supply (advertising slots) with demand (advertising campaigns) for our advertisers. This is accomplished via real-time auctions for each advertising slot, where the winner shows their advertising campaign to the user. Amazon DSP operates at very large scale, handling billions of auctions and bids every day under tight latency constraints, analogous to high-frequency trading.

The MLO team is responsible for optimizing the performance of Amazon DSP, which means selecting the most relevant advert for each user to maximize the returns for our advertisers.

As an engineer on the MLO team, you will be responsible for designing and improving ML systems for DSP performance optimization. You will have end-to-end responsibility to help capture requirements, create software designs, implement and launch your designs in production, define continuous integration testing, and supporting the resulting systems. You will have full ownership of technology choices, architecture, A/B testing for your features, code deployments into production, and operational excellence. Your team will include ML scientists, data analysts, and other high performing engineers.

We’re looking for SDEs interested in AWS SageMaker, AWS Lambda, AWS EMR, Spark, PyTorch, and other AWS, Big-data, and ML/Deep-Learning technologies.

BASIC QUALIFICATIONS
1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
2+ years of non-internship professional software development experience
Programming experience with at least one software programming language.

Bachelor’s Degree in Computer Science or related field
Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
Link: https://www.amazon.jobs/en/jobs/2145457/software-development-engineer-machine-learning-machine-learning-optimization-mlo
Machine Learning Scientist / Engineer
Booking.com
We're looking for talented Senior and Core ML Scientists, Engineers and Managers to join our teams in Tel Aviv and Amsterdam and work on the most intersting ML problems in the Travel industry, such as personalization, ranking, causal modeling, pricing, image and text analysis and many more. Check the link for details or send an email.
Link: https://jobs.booking.com/careers?query=Machine%20Learning
Senior Machine Learning Engineer
Anaconda, Inc.
Anaconda is seeking a talented Machine Learning Engineer to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science and machine learning. You will help us shape and evolve how we provide value to our users, by building systems that connect users with the content, tools, and other resources that best suit their needs.

What You’ll Do:
- Design, implement, and deploy production ML models for recommendation, personalization, and other focus areas
- Be a key member of the Anaconda Nucleus Engagement team
- Contribute to team meetings / discussions (sprint reviews, planning, etc)
- Work with other teams to coordinate joint deliverables
- Work with the entire team to ensure the highest level of product quality
- Create and maintain software documentation
- Review PRs, contribute to engineering and product discussions
- Work on designing the consumer-facing Nucleus platform 

 
Link: https://boards.greenhouse.io/anaconda/jobs/4240434
Senior Data Scientist
Anaconda, Inc.
Anaconda is seeking a talented Sr. Data Scientist, Customer Insights Portal to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science and machine learning.

What You’ll Do:
- Help develop the roadmap and strategy for a brand new product bringing real-time insights into the world of numerical computing to decision-makers and strategists across the industry
- Build models to generate unique insights about how numerical computing professionals are doing their work
- Identify new data sources which can be used to extend and improve those models
- Work with data engineers, software developers, and the user experience team to design visualizations for users of the customer insights portal
- Interface with other product development  teams, Anaconda data scientists, and data engineers to identify new sources of data in Anaconda products and ensure correct telemetry is added
- Be accessible and responsive as the subject matter expert for your part of the business.
Link: https://boards.greenhouse.io/anaconda/jobs/4388382
Senior Data Scientist
ZipRecruiter
The search team at ZipRecruiter is looking for talented senior data scientists to join our team! You’ll be working on interesting problems including Ranking, Query Understanding, and everything related to the search experience at ZipRecruiter.

Feel free to reach out and ask questions!

Below is part of the job description, check the link for more details:

Who We Are:

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Our Mission:

To actively connect people to their next great opportunity.

Key focuses:

- You’ll be joining a team of software engineers, data scientists, and ML engineers working on interesting problems in the fields of recommendations, search, and NLP.
- Develop production-level code that runs, trains, and maintains ML models.

Minimum Requirements:
- Master’s degree or higher in Computer Science / Mathematics / Statistics or equivalent
- 5+ years of experience as a Data Scientist
Proficiency in Python
- Strong background in machine learning, preferably in NLP related fields
- Familiarity with Deep Learning
- Experience with Linux environment and AWS Team player with excellent communication skills
- Acting and thinking as an owner, building code that will run in production

Our offices are open for a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
Link: https://www.ziprecruiter.com/c/ZipRecruiter/Job/Senior-Data-Scientist/-in-San-Francisco,CA?jid=41f0cf2b79f9bba3&lvk=i-EbeqSnkN1WkJHpW4mMPg.—M_w2dG317
Senior Machine Learning Scientist
ASOS.com
Job Description

Our data science team is highly innovative. We partner with some of the best universities in the world, and for us, innovation matters.

As a Senior Machine Learning Scientist, you will be working in a cross-functional, highly diverse platform and will be creating new and improving internal and external facing data products.

You will be driving the implementation and scale-up of algorithms for measurable impact across the business. You will set up and conduct large-scale experiments to test hypotheses and drive product development.

You will be keeping up to date with relevant state-of-the-art research, taking part in reading groups alongside other scientists, with the opportunity to publish novel prototypes for the business at top conferences.

You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features for our millions of global customers. You will take part in regular Tech Develops days to learn new things, take part in internal and external hackathons, and share your knowledge and help drive improvements in engineering.

You will be mentoring and coaching junior members of the team, supporting their technical progress.

At ASOS, as an online only retailer, we have unique datasets, transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products
Link: https://asos.github.io/data-science/
Principal Data Engineer
The Washington Post
We’re looking for a Principal Data Engineer to join the Commercial Business Intelligence team. The Commercial Business Intelligence Team is architecting new ways to surface insights to both the Washington Post and our SAAS customers. We are looking for a self-motivated engineering leader with a conscientious mentality and a relentless commitment to quality and stability.
Link: https://washpost.wd5.myworkdayjobs.com/en-US/washingtonpostcareers/job/Principal-Data-Engineer_JR-90272927
Senior Data Engineer
The Washington Post
The Post relies quite heavily on data-informed decision making both at a strategic and operational level. Over the years, The Post has experienced a significant increase in traffic and subscriptions across various platforms and channels. The increased data volume and velocity coupled with new sources and complexity has created new challenges. To address these challenges and gain maximum benefits from our data, we are creating an Integrated Customer Data by stitching data signals from various data sources. This integrated customer data will be used to power various marketing and personalization efforts via enhanced workflows, automations and data activations via homegrown and vendor platforms.

We are calling this initiative WaPo 360. As our Senior Data Engineer you’ll be part of a cross functional team and work in close collaboration with analytics, engineering and other stakeholders.  You will be building and maintaining various systems of WaPo 360. You will be responsible for day-to-day operations of systems that depend on data, ensuring data is properly processed and securely transferred in a timely manner. Processing data will include managing, manipulating, storing, and parsing data in a data pipeline for variety of target sources. You will also support maintenance of applications and tools that reside on these systems such as upgrades, patches, configuration changes, etc.
Link: https://washpost.wd5.myworkdayjobs.com/en-US/washingtonpostcareers/job/Senior-Data-Engineer_JR-90273280
Senior Data Scientist
TelevisaUnivision
Senior Data Scientist role on the enterprise data science team.
Link: https://univision.wd1.myworkdayjobs.com/External/job/Miami-FL/Senior-Data-Scientist_R010688
Machine Learning Scientist or Postdoc
Lawrence Livermore National Lab
We have some open positions for postdocs and researchers in our Applied Machine Learning group. If you are interested, send me your cv (lenodasilva1@llnl.gov) during the conference.
Those positions are primairly for US citizens able to apply for clearance, but if you are an exceptional fit we might consider foreign nationals. Example posting:

https://jobs.smartrecruiters.com/LLNL/3743990000295827-applied-machine-learning-analyst
Link: https://jobs.smartrecruiters.com/LLNL/3743990000295827-applied-machine-learning-analyst
Lead/Senior Data Scientist
Albertsons Companies
The position will be based in Pleasanton, California or one of our main regional offices Phoenix, Arizona or Dallas, Texas.

Main responsibilities

• Big part of your responsibilities will be project-based. You will be responsible for identifying and providing solutions and tooling built on predictive modeling, machine learning algorithms that satisfy various business needs
• Use machine learning algorithms to generate customer behavior segmentation, to build recommendation engines and deliver personalized user experience on ecommerce website and loyalty mobile app
• Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts
• Build data science solutions to solve complex problems and fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teams
• Extract insights and scale sentiment analysis from comments and other forms of feedbacks using Natural Language Processing. Develop adaptable NLP solutions including text categorization, domain classification, event detection, and topic modeling
• Design experiments and deliver A/B Testing analysis to improve customer experience in physical store and on digital platforms
• Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence
• Convey sophisticated machine learning and modeling solutions with intuitive visualizations and effective communications
Link: https://www.linkedin.com/jobs/view/3166797949
Director Experimentation- Data Science
Albertsons Companies
You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into business impacts on regular basis. You’ll lead data scientists and partner with business in identifying and defining experimentation opportunities, designing randomized experiments (e.g. A/B tests) in both our digital channels and our stores, as well as leading rigorous quasi-experiments (difference-in-differences, multivariate regressions, matching approaches, etc.). You will work with Data Scientists to build machine learning algorithms and models on top of existing data platforms and leveraging data generated by experiments. The candidate will have a background in computer science or a related technical field with experiences working with large data sets and applying data-driven decision making. A successful candidate will be both technically strong and business savvy, with a passion to make an impact through creative storytelling and timely actions. You are a self-starter, smart yet humble, with a bias for action. The level of this position will be determined at the time of the interview.
Link: https://www.linkedin.com/jobs/view/3166754615/?refId=arE93F%2F5Su%2BImtNY2p1YDQ%3D%3D
PhD student at University of Vienna - fully paied position
University of Vienna
Want to pursue a PhD in the most liveable city of the world?
The research group "Data Mining and Machine Learning" at University of Vienna is looking for motivated PhD students. The position is fully paied. You need a Masters degree in Computer Science or similar and solid mathematical knowledge combined with advanced programming skills. Our areas of expertise are clustering, representation learning and deep learning. We are collaborating with domain experts from medicine, neuroscience, meteorology, social sciences, archeology.
Your supervisor is Prof. Claudia Plant. We have the paper "The DipEncoder: Enforcing Multimodality in Autoencoders" at KDD. You can meet me after the session on Thursday, August 18, 1:30 PM-3:30 PM, Room 208AB or drop me a message.
Link: https://dm.cs.univie.ac.at/
Postdoc position at University of Vienna
University of Vienna
Want to do your postdoc in the most liveable city of the world? The research group "Data Mining and Machine Learning" at University of Vienna is looking for motivated postdocs. We offer a full time position with monthly salery of about EUR 4,100 (details depending on your qualification). Be part of an international team with open-minded work culture. You need a PhD in Computer Science or similar and experience in data mining documented by top-level publications. Our areas of expertise are clustering, representation learning and deep learning. We are collaborating with domain experts from medicine, neuroscience, meteorology, social sciences, archeology. Want to learn more? Meet Prof. Claudia Plant. We have the paper "The DipEncoder: Enforcing Multimodality in Autoencoders" at KDD. You can meet me after the session on Thursday, August 18, 1:30 PM-3:30 PM, Room 208AB or drop me a message.

Link: https://dm.cs.univie.ac.at/
Machine Learning Researcher
Curai Health
Our mission at Curai is to make high-quality healthcare accessible to all. We are fulfilling this audacious mission by building a virtual-first primary care service.

To achieve our mission, we took a long-term view and established a strong research culture to propel innovation in telehealth primary care. A significant aspect of our culture, and arguably unique for a startup, is our commitment to open research (peer-reviewed publications).

We are looking for a researcher on our team. Our mission drives team members, and we play a vital role in impacting our company's technical/ML direction for hybrid ML-practitioner primary care.

Who You Are:

Are a self-starter and have a growth mindset.

Enjoy tackling complex problems in a scientific and data-driven way.

Are excited by the complexity of healthcare and view challenges of medical data: sparse, low volume, and long-tailed, as opportunities.

Are collaborative and appreciate working with people with diverse expertise.

What You'll Do:

Advancing the field of machine learning applied to primary healthcare: Differentiating applications into our product and research leading to publications in top tier conferences.

Enabling research to manifest in product features in collaboration with our engineering, design, and clinical innovation teams.

Mentoring research interns and junior members of the team.

What You’ll Need:

PhD or Masters through thesis or Masters with at least three years of experience as an applied scientist in machine learning /NLP.

Proficiency in Python and in model development framework (e.g., PyTorch, TensorFlow).

Ability to explain and articulate scientific ideas in written and verbal formats. Publications in top-tier conferences.

Good organizational skills (in terms of time management, and working efficiently as part of a team).

Industry experience with cross-functional collaboration is desirable, but not required.
Link: https://jobs.lever.co/curai/c7f2e5ed-0cfb-4e64-8be2-89976ff52d87
Applied Scientist
Amazon
Apply and Research multilingual, multimodal, multitask, domain adaptation, pipeline optimization and explainable approaches.

Launch solutions to automate and optimize policy-product-customer feedback investigations across all products globally to keep our customers safe.

Push state-of-the-art in these domains and publish in internal and external conferences.

All levels.

Please share your publication record in any of the above domains.
Link: None
Machine Learning Engineer
AWS
Interested in solving real world problems using ML and Engineering for AWS’s top customers?
Link: https://aws.amazon.com/ml-solutions-lab/
Software Engineer
AWS
Looking to build real world applications around ML for the largest customers of AWS?
Link: https://aws.amazon.com/ml-solutions-lab/
E-com RecSys NLP RL Senior Data Scientists at homedepot.com
The Home Depot
We are the RecSys team at homedepot.com. We are responsible of all models driving recommendation, personalization, and Ads on the site. We have two papers in this conference. Please look them up with my name. We are looking for people who are inspired to change the world with data-driven mindsets. Please email or message me. We are fully remote in US.
Link: None
Researcher - Machine Learning
Machine Learning Department, NEC Labs America
The Machine Learning Department has openings for researchers with a passion for developing the next generation of machine intelligence. Expertise in machine learning with a proven track record of original research as well as a keen sense for developing practical applications are prerequisites for this position.

The Machine Learning Department has been at the forefront of research in such areas as deep learning, support vector machines, and semantic analysis for almost two decades. Many eminent machine learning researchers including Vladimir Vapnik (godfather of statistical learning and SVM), Yann LeCun (godfather of CNN), Léon Bottou (godfather of SGD), Ronan Collobert (inventor of torch and pytorch), Jason Weston, and Koray Kavukcuoglu worked as researchers in our department.

Many technologies developed in our group have been released as innovative products and services of NEC, such as systems for recruiting, surveillance, inspection of manufactured goods, and digital pathology. In addition to contributing to NEC’s business, our research is published in premier venues. Among the challenges we are tackling now are, how to move machine learning to more abstract reasoning, and how this can enable new applications in smart manufacturing, safe cities, and personalized healthcare.
https://www.nec-labs.com/research/machine-learning/home/



Position Requirements

• PhD in computer science, statistics, or equivalent
• Research experience in machine learning with strong publication record
• Strong algorithm and numeric computation background
• Programming experience in Python, Lua, C++, or other languages
• Experience with deep learning libraries and platforms a plus, e.g. PyTorch, TensorFlow, or Caffe

Please submit your application at the following link,

https://www.appone.com/MainInfoReq.asp?R_ID=4141735


Link: https://www.appone.com/MainInfoReq.asp?R_ID=4141735
Machine Learning Research Intern
Curai Health
Our mission at Curai is to make high-quality healthcare accessible to all. We are fulfilling this audacious mission by building a virtual-first primary care service.

Our company is remote-first and we consider candidates across the United States.

Machine Learning Research Internships at Curai

To achieve our mission, we took a long-term view and established a strong research culture to propel innovation in telehealth primary care. A significant aspect of our culture, and arguably unique for a startup, is our commitment to open research (peer-reviewed publications). Our recent collaborators include faculty and students from Stanford, NYU, MIT, Georgia Tech, MGH, and Vanderbilt University. 


Our current research focuses on medical NLP (e.g., medical dialogs, summarization) and clinical decision-making (e.g., medical diagnosis). These areas require research in fundamental problems in AI/ML, including modeling long-tail data distributions, semi-supervised/active learning strategies, low-shot learning, self-supervision, language models, and incorporating medical knowledge as priors.

We are looking for a research intern on our research team. We support research interns by pairing them 1-1 with a researcher mentor. We choose exploratory research projects that have the potential to impact our product and align with research interests of the intern and the mentor. Our mission drives team members, and we play a vital role in influencing our company's technical/ML direction for hybrid ML-practitioner primary care.

What You'll Need:

PhD or Masters by research candidate in machine learning or related fields.

Proficiency in Python and in model development framework (e.g., PyTorch, TensorFlow).

Able to explain and articulate scientific ideas in written and verbal formats. Publication in top-tier conferences.

Exposure to applications of ML/NLP in healthcare is valued but not required
Link: https://jobs.lever.co/curai/b15be159-f16a-49f9-bd05-95759dc2daf2
Postdoc at Purdue University in Reinforcement Learning
Purdue University
Post-doctoral opening at Purdue University in Reinforcement Learning

Purdue University is actively seeking a post-doctoral candidate with experience, under the supervision of Prof. Vaneet Aggarwal, in one or more of the following areas:

·       Theory of Combinatorial/Submodular Bandits

·       Theory of Reinforcement Learning

·       Multi-Agent Reinforcement Learning

·       Offline Reinforcement Learning

The ideal candidate has a Ph.D. in CS/ECE/EE/Stats on a topic related to stochastics or theoretical machine learning. The appointment is an annual contract, renewable up to two years pending funding availability and performance. The position is immediately available. Applicants should have completed their PhD by the time of their appointment. Evaluation of applicants will begin immediately and continue until the position is filled. Applicants must be legally eligible to work in the United States. There are no teaching obligations.

Interested candidates are requested to send a CV and three representative publications to Prof. Vaneet Aggarwal (vaneet@purdue.edu).  

The College of Engineering at Purdue University is  ranked #4 in the country by US News. 

 

Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.

 
Ad Applied Scientist
Amazon
Apply cutting edge technology in the space of content understanding and generation to help advertisers grow their business via ads
Postdoctoral researcher
iHARP at UMBC
Description: The NSF HDR institute iHARP at the University of Maryland, Baltimore County is looking for strong Research Associates. Candidate will work with an interdisciplinary team including data scientists and polar scientists addressing important climate change problems.

Start date : (2022) Review of applications is ongoing

Funding source: UMBC, NSF

Qualifications:
Ph.D. in fields including Information systems, Computer science or other related fields.

Required skills:
Strong communication, writing skills, and the ability to work in a collaborative and interdisciplinary environment;
Experience in working with large-scale data;
Participation and activity in the scientific community;
Priorities will be given to those who have a strong publication track record in the data science/ AI areas.
Link: https://iharp.umbc.edu/
Applied Scientist II & Applied Science Intern
Amazon
Do you want to join the Alexa Artificial Intelligence (AI) team, the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world?

If your answers to these questions are “yes”, then come join Alexa AI, which is in charge of improving Alexa user satisfaction through real-time metrics monitoring and continuous closed-loop learning. The team owns the modules that reduce user perceived defects and frictions through utterance reformulation, contextual and personalized hypothesis ranking.

Key job responsibilities
With the Alexa AI team, you will be working alongside a team of experienced machine/deep learning scientists and engineers to create data driven machine learning models and solutions on tasks such as sequence-to-sequence query reformulation, graph feature embedding, personalized ranking, etc..
You will be expected to:


Analyze, understand, and model user-behavior and the user-experience based on large scale data, to detect key factors causing satisfaction and dissatisfaction (SAT/DSAT).

Build and measure novel online & offline metrics for personal digital assistants and user scenarios, on diverse devices and endpoints

Create and innovate deep learning and/or machine learning based algorithms for utterance reformulation and contextual hypothesis ranking to reduce user dissatisfaction in various scenarios;

Perform model/data analysis and monitor user-experienced based metrics through online A/B testing;

Research and implement novel machine learning and deep learning algorithms and models.
Link: None
Data Scientist
Bechtel
Please send me email if interested, or apply directly in link below and mention KDD.


Data Scientist

Requisition ID: 254259

Job Summary

Bechtel Corporation is seeking a talented and ambitious Data Scientist to join our Big Data and Analytics Center of Excellence (BDAC) team. The Big Data team reports to our Corporate Project Controls group which aligns us directly with the project management function of the company. The successful candidate will be a strategic hire who will help drive the adoption of data science and machine learning capabilities into our standard project execution methods and procedures.



Who You Are:

Yearn to be part of groundbreaking projects that work to deliver world-class digital solutions to business problems
Are motivated to find opportunities in and develop solutions for evolving challenges, are passionate about your career, and driven to deliver exceptional results
Are technically competent with open-source tools and cloud computing
Have been exposed to data science techniques such as clustering, classification, neural networks, reinforcement learning, supervised and unsupervised learning, sentiment analysis, natural language processing, etc.
Are imaginative and engaged in new and emerging data science technologies
Are motivated and comfortable teaching yourself new methodologies and enjoy learning on the job.
Can rapidly iterate and evolve ideas into tangible solutions.
Link: https://jobs.bechtel.com/job/Reston-Data-Scientist-VA-20190/876587700/
Senior/Staff Machine Learning Engineer
Faire
Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ranking, search, recommendations, logistics, underwriting, and more - all with the goal of helping local retail thrive.

The Data team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive.

As a Staff Machine Learning Engineer you’ll own develop and deploy machine learning models and help manage our machine learning platform that powers our systems. From the mobile checkout process, to personalized search ranking, to the intelligent underwriting engine that determines credit limits for retailers --- we are constantly iterating and innovating our product offering to create more value for the ecosystem

Our team already includes experienced Data Scientists and Machine Learning Engineers from Facebook, Uber, Airbnb, Square, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!

What you will be doing:

Leverage machine learning to optimize Faire’s two-sided marketplace dynamics
Design, build and scale Real-Time and Batch processing pipelines to compute features, perform inference, and make decisions
Improve Faire’s cutting-edge search & ranking problems combining a wide variety of data about our retailers, brands and products, or improve Faire's credit portfolio by evaluating creditworthiness of retailers on Faire’s platform; use predictive modeling to dynamically assign credit limits that minimize default risk and maximize growth
Qualifications
Link: https://boards.greenhouse.io/faire/jobs/6214649002
Applied Scientist
Amazon
Help us shape the future of Alexa where it not only responds to requests you make but also proactively anticipates what you might need next and informs you of it at the right moment. We are looking for a seasoned applied scientists, research scientists to optimize several diverse voice and visual experiences across Amazon Echo products.

As a member of the Applied Science team in the Alexa Experiences and Devices organization, you will be solving key challenges in how customers learn about and interact with voice assistants, and enable customers to get the most out of our products. You will design and develop fast, efficient, and highly scalable machine learning algorithms that are applied to natural language processing problems. You'll work with senior scientists and engineers within Alexa and develop high quality software that is robust, reliable and scalable.

We’re looking for a passionate, talented, and inventive Scientist to help build industry-leading ML technologies. You will work on problems spanning dialog systems, personalization, contextual bandits, recommender systems, and reinforcement learning, developing novel solutions using large-scale real-world datasets. that help provide the best-possible experience for our customers. You will partner closely with engineering and product teams to build, evaluate, and deliver your solutions. You will develop innovative solutions that enable Alexa to learn from past customer interactions to drive future engagement and utility.
Link: https://www.amazon.jobs/en/jobs/1800543/applied-scientist-alexa-alexa-proactive-experiences
Postdoc in ML & Data Analytics
University of Bonn
Duration: Two years, full-time, starting at the earliest date possible

The University of Bonn is a university of excellence and one of the leading universities in Germany. 
The DSIS research group conducts research in spatio-temporal data analytics, machine learning, knowledge graphs, and various application areas, including mobility, security, and neuroscience. Furthermore, we address the usability, explainability, and traceability of data analysis.

* Your responsibilities: *
- You develop innovative solutions for real-world problems that require the analysis of very large spatio-temporal datasets.
- Your research activity is linked to work in the Attention!, WorldKG, and iBehave projects. 
- You contribute to teaching data science and machine learning.
- You contribute to acquiring third-party-funded projects.
- You are responsible for the project management and contribute to the doctoral candidate mentoring and student supervision.

* Your profile: * 
- Ph.D. in computer science or related fields of study. 
- Very good knowledge of one or more of the relevant areas. 
- Practical experience with current machine learning libraries, data management systems, and distributed data processing.
- Very good written and spoken English, German knowledge is desirable but not mandatory at the start.
- Good communication and team skills.

* We offer: *
- A varied and demanding job in a group of excellent scientists at one of the leading universities in Germany
- A salary pay-scale TV-L 13
- Contract duration of two years, full-time
- Financial support to attend related conferences 

* Application: *
If you are interested in this position, please send your complete application documents, including a motivation letter, research statement, curriculum vitae, certificates, and transcripts, as well as the names of two referees, as one PDF file per email to elena.demidova at  cs.uni-bonn.de
For further information, please contact Prof. Dr. Elena Demidova via email. 
Link: https://dsis.iai.uni-bonn.de
Applied Scientist II
Amazon
The mission of Alexa is to set customers free in life. To be an instantly familiar, always-available personal assistant. Join us to shape the future of Alexa where it not only responds to customer requests, but also proactively anticipates what customers need next informing them at the right moment. We are looking for an applied scientist to work with a growing team of applied scientists, language engineers to optimize voice and visual experiences across Amazon Echo products. As a founding member of Alexa Experience science team, you will not only be solving hard problems in how Alexa adapts to customer’s latent goals and learns at scale, but also contributing to the strategies and roadmaps of the team.

Key job responsibilities
You will create personalization, multi-armed bandits, reinforcement learning models, recommender systems. You will invent machine learning models that leverage natural language utterances, multi modal, telemetry signals. You will influence the definition of customer satisfaction, dissatisfaction metrics. You will profile nuanced preferences from customers, invent innovative ambient experience to delight Alexa customers, with opportunities to publish your work. You will develop novel solutions using large-scale real-world datasets and partner closely with a dedicated engineering and product team to build, evaluate, and deliver your solutions.
Link: https://www.amazon.jobs/en/jobs/2062890/applied-scientist-alexa-proactive-experience-delivery?no_int_redir=1
R&D Data Scientist @ P&G
Procter & Gamble
Leverage advanced machine learning methods to solve R&D challenges. These include AI-accelerated science (particular interest in Biology, Chemistry and Social Science), Human Centered AI and AI for positive societal impact (eg. Sustainability). As the machine learning expert, you will collaborate with scientists and engineers to experiment and deliver solutions and tools which will improve the lives of our consumers.
Link: https://www.pgcareers.com/job/mason/r-and-d-data-science-phd/936/32466302656
NLP/ML Research Intern Opportunities at Amazon Search
Amazon
NLP/ML Research Intern Opportunities at Amazon Search

https://amazonsearchqu.github.io


Link: None
Staff ML Engineer/Scientist (CV, Video, Multimodal)
Meta
I’m hiring for staff-level ML Engineer/Scientist who have experience working with computer vision, video and multimodal models. Tech lead experience leading major projects/initiatives in above mentioned technical specialty is desirable.

The position is open for multiple locations in the US (MPK, Sunnyvale, Seattle, NYC, Austin, etc.) and also for remote only. Please send me a message on the Whova app if you’re interested. Thanks.
Link: None
Applied Scientist
Amazon Ads
Amazon Advertising is one of Amazon’s fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales.

Our team’s mission is to automatically create high quality and high performance advertisements using state-of-the-art AI methods. We build and deploy models that generate multi-media ads using Natural Language Text Generation, Image Generation, Video Generation and more at Amazon scale. If you have experience and interest in image/video/text-based generative models, 3D deep learning models, multi-modal generation/understanding, deep image harmonization etc.

As an Applied Scientist on this team, you will:

- Build ML models to address content intelligence problems.
- Build advanced algorithms to generate AI powered multi-modal content.
- These models will rely on a variety of visual, textual and multi-modal features requiring expertise in these domains.
- Propose hypotheses, validate these offline and run A/B tests to validate them online.
- As part of these activities, you will develop production level code that enables high-quality content generation and ranking.
- Use your expertise to generate different aspects of creatives for advertisements including image-based content creation, script generation and content summarization, realistic text-to-speech/voice-over generation, AI-powered music generation and video synthesis
- Run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new innovate machine learning approaches.

Team video https://youtu.be/zD_6Lzw8raE

Please feel free to reach out to apooja@amazon.com / suminegi@amazon.com for further queries.
Link: https://amazon.jobs/en/internal/jobs/2123242/senior-applied-scientist-amazon-advertising
Applied Scientist - Natural Language Generation - All levels
Amazon
Visit us at Poster 30 at the Applied Data Science Track Poster session on Monday August 15th to learn more or at our Oral presentation in Room Salon B on Thursday August 18th.

Description:
Amazon is investing heavily in building a world-class advertising business.

As a Scientist on this team, you will:

Build advanced algorithms to generate AI powered multi-modal content.

These models will rely on a variety of visual, textual and multi-modal features requiring expertise in these domains.

Use your expertise to generate different aspects of creatives for advertisements including image-based content creation, script generation and content summarization, realistic text-to-speech/voice-over generation, AI-powered music generation and video synthesis

Link: https://www.amazon.jobs/en/jobs/2123243/senior-applied-scientist-amazon-advertising
AI/Data Mining/Machine Learning PhD Positions at Computer Science Department of University of Central Florida
UCF
Graduate Research/Teaching Assistant (GRA/GTA) positions are available for well-motivated students who want to pursue PhD degrees at the department of Computer Science at University of Central Florida (UCF), Orlando, Florida, USA (https://www.cs.ucf.edu/).

UCF is a Carnegie Research I (R1) university (https://en.wikipedia.org/wiki/List_of_research_universities_in_the_United_States). UCF is ranked #50 overall for Computer Science in US according to CSRankings.org (http://csrankings.org), and is ranked #69 according to US News (https://www.usnews.com/best-graduate-schools/top-science-schools/computer-science-rankings). UCF is located in Orlando nicknamed “the City Beautiful”, which is one of the most-visited cities in the world primarily driven by tourism.

Dr. Yanjie Fu is an assistant professor in the Department of Computer Science at the University of Central Florida. He has research experience in industry research labs, such as Microsoft Research Asia and IBM Thomas J. Watson Research Center. He received US NSF CAREER Award (2021), IEEE ICDM Best Paper Finalist (2021), ACM SIGSpatial Best Paper Runner-Up Award (2020), US NSF CRII Award (2018), ACM SIGKDD Best Student Paper Finalist (2018), Microsoft Research Azure Research Award (2016), IEEE ICDM Best Paper Finalist (2014).He was selected as one of the 2022 global top Chinese young scholars in AI by Baidu and 2021 AI 2000 Most Influential Scholar Award Honorable Mention in Data Mining by Aminer.org. His graduated Ph.D. students have joined academia as tenure-track faculty members, such as University of Macau and Portland State University.

I am looking forward to welcoming you to be a member of my lab.
Link: http://yanjiefu.com
Research Scientist
Microsoft corp
Researcher with experience jn deep learning and programming language technologies with opportunities to work on the latest hardware, systems and problems jn large scale AI and deploy them in production.
Link: https://www.microsoft.com/en-us/research/group/dataai/
Postdoctoral Researcher in Data Science
Georgia Institute of Technology
2 postdoc positions at Georgia Tech, in the group of Prof. Srijan Kumar. Exciting opportunities to conduct pioneering research in data science, social media, misinformation, multimodal content, and adversarial machine learning. Please connect with Prof. Kumar at KDD or via email.
Link: https://faculty.cc.gatech.edu/~srijan/
Research and Data Engineer
Georgia Institute of Technology
1 position for a Research and Data Engineer at Georgia Tech in the group of Prof. Srijan Kumar. The group conducts leading research in data science and machine learning for pressing challenges on web and social media, e.g., misinformation. Responsibilities of the position will include building the pipeline for collecting, storing, and querying data from web and social media platforms, and developing machine learning benchmarking platform.
Link: https://faculty.cc.gatech.edu/~srijan/
Applied Scientist
AWS
NLP Research on entity linking, large scale pretraining, etc
Link: None
Researcher (Data Science)
NEC Laboratories America
The Data Science team aims to build novel big data solutions and service platforms that simplify complex systems management, and to develop new information technology that supports innovative applications, from big data analytics to the Internet of Things. Our research is both experimental and theoretical, covering many domains in data science and artificial intelligence such as time series analysis, graph mining, NLP and document understanding, and so on. The goal of our research is to fully understand the dynamics of big data from complex systems and build innovative solutions to help end user managing those systems. We have built a number of analytic engines and system solutions to process and analyze big data and support various applications in detection, prediction and optimization. Our research leads to both award-winning NEC products and publications in top conferences.

Our group is looking for researchers to work in the areas of artificial intelligence, machine learning or data mining. The ideal candidates must have expertise in one of the above areas and can develop algorithms to analyze massive data and build innovative applications.
Link: https://www.appone.com/MainInfoReq.asp?R_ID=4134286
Researcher (Environmental Data Science)
NEC Laboratories America

The Complex System Modeling and Optimization team develops advanced techniques to optimize complex systems for environmental and sustainability goals such as carbon neutrality. Our research, which is both experimental and theoretical, covers domains including data science, simulation and modeling, optimization and control, and has led to many publications in top conferences. Our research goal is to understand the complexity of real-world systems and build innovative solutions to drive the creation of social values such as carbon neutrality. We have built several analytic engines and system solutions to analyze big data and support various applications in system modeling and optimization.
Link: https://www.appone.com/MainInfoReq.asp?R_ID=4781416
Associate Researcher (Data Scientist)
NEC Laboratories America
The Data Science team (http://www.nec-labs.com/research-departments/data-science-systems-research/data-science-systems-research-home) aims to build novel big data solutions and smart platforms to simplify complex system and service management. Our research is both experimental and theoretical, covering many domains such as time series analysis, graph mining, NLP and document analysis, reinforcement and imitation learning. We have built a number of analytic engines to analyze big data and support various applications in detection, prediction and optimization. Our research leads to both award-winning NEC products and publications in top conferences.

The team is seeking data scientists to work in the area of data analytics and service development. The ideal candidate will have strong background in data mining and machine learning, as well as experiences in software development.
Link: https://www.appone.com/MainInfoReq.asp?R_ID=3860602
Researcher (Machine Learning)
NEC Laboratories America

The Machine Learning Department has openings for researchers with a passion for developing the next generation of machine intelligence. Expertise in machine learning with a proven track record of original research as well as a keen sense for developing practical applications are prerequisites for this position.

The Machine Learning Department has been at the forefront of research in such areas as deep learning, support vector machines, and semantic analysis for almost two decades. Many technologies developed in our group have been released as innovative products and services of NEC, such as systems for recruiting, surveillance, inspection of manufactured goods, and digital pathology. In addition to contributing to NEC’s business, our research is published in premier venues. Among the challenges we are tackling now are, how to move machine learning to more abstract reasoning, and how this can enable new applications in smart manufacturing, safe cities, and personalized healthcare.
http://www.nec-labs.com/research-departments/machine-learning/machine-learning-home
Link: https://www.appone.com/MainInfoReq.asp?R_ID=4141735
Researcher (Optical Networking & Sensing)
NEC Laboratories America
The Optical Networking & Sensing Department of NEC Laboratories America, Inc. (www.nec-labs.com) in Princeton, NJ is seeking a Researcher to participate in the research and development of data-driven social infrastructure solutions based on cutting edge optical sensing and AI technologies. The successful candidate must be able to work independently and as part of a team, show critical thinking and fast learning ability in their approach to problem solving. Our research leads to both award-winning NEC products and publications in top conferences.

Job Duties:
• Research, develop, train, implement and evaluate machine learning models and new algorithms
• Process and analyze data generated from the various sensing and IoT hardware
• Assess business /customer requirements and translate into data acquisition hardware and software specifications
• Collaborate closely with data scientists, engineering teams, data architects, platform developers to develop data-integration solutions, from low layer/physical system to sensing and data design and handling
Link: https://www.appone.com/MainInfoReq.asp?R_ID=4773784
Researcher (Media Analytics)
NEC Laboratories America

The Media Analytics Department is seeking outstanding researchers with backgrounds in computer vision or machine learning. Candidates must possess an exceptional track record of original research and passion to create high impact products. Our researchers are expected to establish global leadership in their communities.

NEC Labs provides a vibrant research environment and the Media Analytics team publishes extensively at top-tier venues such as CVPR, ICCV or ECCV. Our key research areas include 3D scene understanding, representation learning and privacy. We are located in San Jose, with a strong internship program and active collaborations with academia. To check out our latest work, please visit: https://bit.ly/39VHNxa.
Link: https://www.appone.com/MainInfoReq.asp?R_ID=3153152
Staff/Senior AI research scientist - Intuit
Intuit
Intuit is hiring a Staff/Senior AI Researcher to join the Intuit AI/Tech Futures team

The Futures team develops and incubates emerging technologies, user experiences, capabilities and products that have the potential to be transformative to businesses and consumers. The mission of the newly formed AI Research team would be to do cutting edge research in AI topics that directly influence Intuit’s portfolio of fintech offerings and position Intuit as a global leader in AI with the goal of powering prosperity around the world. In this role you will be advancing the state of the art in fundamentals of artificial intelligence. We are seeking candidates who are experts in deep learning and passionate about areas such as neuro-symbolic AI, robust and explainable AI, or natural language processing.

Tech pre requisites
- PhD in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field with focus on AI/ML/Data Science or equivalent experience
- Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, KDD, ACL, AAAI)
- 5+ years experience in conducting theoretical or applied research with demonstrated capability of defining and driving research projects
- Past experience in disseminating new technical ideas to the larger scientific community through open sourcing, publications, and presentations
- Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks
- Deep technical expertise in machine learning in general, along with hands-on experience in either deep NLP architectures, neuro-symbolic AI, or robust and/or explainable AI
- Excited about the future of Money, Payments, FinTech, and the transformation these technologies will drive
- Strong interpersonal and communication skills in order to effectively communicate and/or collaborate with other team members as well as product technologists and other stakeholders

Link: https://jobs.intuit.com/search-jobs/AI%20-%20Senior%20Research%20Scientist/27595/1?glat=39.29671859741211&glon=-76.62370300292969
Staff Data scientist - Experimentation
Intuit
We are looking for a Staff Data Scientist with deep expertise in experimentation, statistics, and prescriptive algorithms, solving complex big data problems and the ability to drive a cultural change.

Qualifications
- Intellectual curiosity and a passion for experiment design, experiment methodology, and iterative learning
- Proficiency with relational database querying languages (e.g., SQL) and statistical analysis/programming languages (e.g., Python or R)
- A wide range of experience with experimentation (3+ years), including conducting and analyzing A/B tests with various applied statistical techniques (e.g., incrementality testing and causal inference)
- Experience making confident data-driven recommendations based on experiment results, and communicating these to stakeholders with various levels of technical knowledge
- Passionate about statistical methods and translating complex business problems into tractable statistical problems
- Ability to build durable data models with automated pipelines, dashboard templates and other solutions for analysts to leverage
- Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
- Ability to tackle ambiguous and undefined problems
Responsibilities
- Contribute to the long-term technical vision and strategy, including the usage and implementation of different methods and metrics that will help stakeholders across the business evolve the way they leverage experimentation technology to drive impact
- Develop a detailed understanding of the Intuit’s experimentation platform, data architecture and measurement tools/services
- Continue to keep a pulse on broader industry best practices as well as challenges, ultimately enabling the ability to identify present and future opportunities and risks
- Identify and prioritize areas of opportunity, anticipate experimenter needs, and assess novel solutions


Link: None
Staff Data Scientist
Intuit
Intuit is looking for innovative and hands-on Staff Data scientist to join the Intuit AI team.This team embeds artificial intelligence and machine learning into our product portfolio and business to create smarter products, improve anti-fraud and security, and enhance customer care.
Qualifications
- BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
- 4+ years of hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural nets, support vector machines, anomaly detection, and natural language processing
- Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
- Efficient in SQL, Hive, sparkSQL etc.
- Experience with building end-to-end reusable pipelines from data acquisition to model output delivery

Responsibilities
- Excellent leadership and communication skills to influence teams and to evangelize data science across the organization
- Perform hands-on data analysis and modeling with huge data sets
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
- Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver


Link: None
Staff ML Engineer
Intuit
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics.
Qualifications
- BS, MS, or PhD degree in CS or related field, or equivalent practical experience
- 6+ years of experience
- Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark)
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering)
- Understand machine learning principles (i.e. training, validation, etc.)
- Knowledge of data query and data processing tools (i.e. SQL)
- CS fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning)
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users
- Experience with GPU acceleration (i.e. CUDA and cuDNN)
- Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
- Strong oral and written communication skills

Responsibilities
- Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models
- Partner with data scientists to understand, implement, refine and design machine learning and other algorithms
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models
- Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders

Link: http://jobs.intuit.com/job/mountain-view/staff-machine-learning-engineer/27595/33654615264?utm_source=copy&utm_medium=social_post&utm_campaign=Intuit_social
Sr Applied Scientist
Amazon Alexa
We are looking for a passionate, talented, and inventive Senior Applied Scientist to help build industry-leading technologies in speech translation. Our team's mission is to enable Alexa to break down language barriers for our customers.
Link: https://www.amazon.jobs/en/jobs/2170004/senior-applied-scientist-alexa-ai?no_int_redir=1
Applied Science Intern
Amazon Alexa
Looking for a CS PhD candidate for an internship opportunity developing new ASR, NLU and machine translation solutions for Alexa
Lead Machine Learning Scientist - Personalisation & Discovery
ASOS.com
We’re ASOS. We blend our flair for fashion with our love of cutting- edge technology, but more importantly were interested in how we can bring the best out of you.

We exist to give people the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgment, and channel your creativity into a platform used by millions.

Job Desc.
As a Lead Machine Learning Scientist for Search & Recommender systems, you partner with Product Management and with key stakeholders, to identify opportunities and define the scientific direction for our recommendations and search ranking algorithms. You have strong commercial acumen as well as a passion for scientific research. This is a hands-on role as well as a leadership role.

You lead across multiple cross-functional teams which are focussed on using machine learning to personalise product discovery across our website and mobile apps, with the goal of improving the customer experience and increasing revenue and profit for the business. We passionately believe that cross-functional working is the key to any successful ML production system. The whole team is responsible for the end-to-end system, and we are all accountable for making sure it performs in production, at the scale at which ASOS operates.

Your team will be setting up and conducting large-scale experiments to test hypotheses and drive product development, and you will be expected to both conduct these yourself, as well as mentor those in your team conducting these. As a lead, you will need to keep up to date with relevant state-of-the-art research, taking part and leading reading groups alongside other scientists, with the opportunity to publish novel prototypes for the business at top research conferences.

At ASOS, as an online only retailer, we have unique datasets -transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products.
Link: https://asos.github.io/data-science/
Sr. or Principal Product Manager
Amazon
Product manager responsible for the personalized recommendation at Amazon advertising.
Link: None
Research staff openings in medical AI
U.S. FDA
Evaluating medical AI requires new regulatory science tools and methods for rigorous performance assessment. We are seeking candidates for several FDA/CDRH/OSEL research staff openings in areas of medical AI including bias and drift, image reconstruction and home-use devices. Join us to accelerate patient access to innovative, safe and effective medical devices.
For more information see: https://www.linkedin.com/posts/aldobadano_aidm-didsrosel-staff-openings-for-posting-activity-6952976987984416769-mqAZ?utm_source=linkedin_share&utm_medium=member_desktop_web
Link: https://www.linkedin.com/posts/aldobadano_aidm-didsrosel-staff-openings-for-posting-activity-6952976987984416769-mqAZ?utm_source=linkedin_share&utm_medium=member_desktop_web
Postdoc or research assistant
Mohamed bin Zayed University of Artificial Intelligence
Multiple postdoc or research assistant positions in NLP at Mohamed bin Zayed University of Artificial Intelligence(MBZUAI), ranked top 30 globally in AI, CV, ML and NLP.
Applied Scientist
AWS
AWS Insights Optimization
Work on AWS external products like AWS Compute Optimizer and Savings Plan recommendation
Link: None
Multiple positions are open at AWS AI labs
AWS
We are recruiting multiple positions at all levels from principal scientists to applied scientists to summer interns. We are primarily looking for scientists with expertise in time series analytics. Research topics include seq2seq models, deep learning, reinforcement learning, interpretability among others. Please send your CV to lukehuan@amazon.com if interested.
Link: None
AI Engineering roles: Director, Manager, AI/ML/Data- Engineers at all levels
Gauss Labs
Build AI scaling and platform effort to disrupt the semiconductor manufacturing industry! Multiple roles available!

Job profiles below. Send a note to Mohak Shah at KDD to connect in person

Director/Manager:
https://jobs.lever.co/gausslabs/d38db7ad-d398-4268-ab01-38295b30d059

Data Engineers:
https://jobs.lever.co/gausslabs/4950f585-cea0-40de-9802-d4607f7e55fe

ML Ops:
https://jobs.lever.co/gausslabs/d3c62922-ba2d-4af3-a216-625095a1d8f4

ML Engineers:
https://jobs.lever.co/gausslabs/16e26d20-b171-41ea-98f8-4305ef7acb6d
Link: Gauss labs.ai
Data scientist ii
Mariner Finance
You will collaborate with data scientists and other teams by performing controlled exp n neriments, including AB testing, model building, and monitoring.

You will independently contribute to a wide range of data science projects, taking ownership while expanding data exploration skills and increasing data knowledge.
Link: None
Research Scientist and Engineer Opportunities @ TheTradeDesk AI Lab
The Trade Desk
We have multiple research positions from senior to senior staff levels available at our fast growing applied research lab. If you are interested in learning more about it, please get in touch either by email or Whova message. We look forward to meeting you!

---------

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 600 billion queries per day (more than 100 times the query volume of search globally), our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.

Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally-connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small-medium-sized workplaces globally.
Link: https://careers.thetradedesk.com/us/en
Research Data Scientist
Metron, Inc.
Metron is looking for a Research Data Scientist to research decision support tools to improve the safety and efficiency of the national airspace. The candidate will work collaboratively to develop deep neural networks and other machine learning models for prediction and anomaly detection. Learned models provide data-mined patterns and real-time insights for air traffic controllers and managers, pilots, airlines, and policy makers.

US citizenship required.
Link: https://careers-metsci.icims.com/jobs/1828/research-data-scientist/job
Applied Scientist, International Machine Learning - Seattle office
Amazon
Join an innovative team of scientists and engineers who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers.
Link: https://www.amazon.jobs/en-gb/jobs/2010623
Senior Research Scientist (NLP focus)
Leidos
Excited to apply your knowledge and expertise to solve a broad range of technical challenges that have real world impact? Enjoy working with a diverse and talented team? If so, please consider applying to join the Leidos AI/Machine Learning Accelerator!

We are looking for a Senior Natural Language Processing (NLP) Research Scientist with a background that reflects designing, implementing, and analyzing approaches that integrate, adapt, and extend novel capabilities to state-of-the-art technical challenges in research and development (R&D) programs (basic and applied) as well as in direct client work. Candidates with a background in computational linguistics, human language technology, machine translation, automated speech recognition, machine translation, or linguistic data analysis, and experience participating in leading multi-disciplinary teams of researchers and engineers are strongly preferred. Work is located in Arlington, VA (Remote is acceptable).

 
Link: www.leidos.com
Staff Data Scientist
Samsung Research America
Position Summary: Our ideal candidate should be adept at enterprise software development using large-scale distributed data processing technologies and machine learning. They will work closely with other data engineers to implement data systems in production-stable environment. Examples include real-time events, batch processing, machine learning (including GPU), data warehouses, and data APIs. The successful candidate will be a team player, interested in the success of the entire team as a whole.

Experience Requirements:

Deep knowledge of recommender systems and familiar with machine learning, information retrieval, data mining, statistics, NLP or related field
Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark etc.)
Proven demonstrated experience in Machine Learning, Deep Learning, and also implementing Machine learning models in Production
Experience in Data Engineering (using Spark, Kafka, streaming, etc.)
Experience in SQL or similar languages and development experience in at least one scripting language (Python, Perl, etc.)
Experience with Redshift and other AWS technologies
Experience utilizing Object Oriented design and programming with Java/Scala/Python skills to design, develop, and maintain large-scale web applications
MS/PhD in Computer Science, Math, Physics, or equivalent combination of education, training and experience
Link: https://boards.greenhouse.io/samsungresearchamerica/jobs/5924901002
Ontologist
Johns Hopkins Applied Physics Laboratory
We develop a wide range of ontologies for DoD IC applications in collaboration with software engineers and data scientists
Link: https://careers.jhuapl.edu/jobs/48727?lang=en-us
Data Scientist
Millennium Management
Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and Data Science to solve complex problems for the business. We are expanding our Data Science practice to take advantage of new tools and techniques in the areas of large scale data analytics and Machine Learning. We are looking to hire a Senior Data Scientist who will develop large-scale data analytic capabilities to extract insights from structured and unstructured data.
Link: https://www.linkedin.com/jobs/view/2903444397
Machine Learning Engineer
HEALTH[at]SCALE
Health at Scale is the market leader in precision health -- digital health programs that offer smart, hyper-personalized insights to help individuals choose the best providers, treatments, care settings and lifestyle choices for their unique healthcare needs. Founded by leading machine learning and clinical faculty from MIT, Stanford, Harvard and the University of Michigan, we work with some of the largest payers, employers and providers in the U.S. to improve outcomes, costs, access, and equity for their members. Health at Scale operates some of the largest deployments of AI in healthcare to date, covering millions of lives in production settings. We have been recognized for our innovation and as one of the fastest growing private companies by Forbes, Fast Company, Inc 500, UCSF Digital Health, Becker's, TechCrunch, Bloomberg and MIT News. For more information, please visit our website.

As a machine learning engineer at Health at Scale, you will work with an exceptional team of engineers, scientists, and clinicians to design, engineer, test, deploy and maintain machine intelligence platforms and applications for real-world production use. You will work closely to iterate and improve upon the machine intelligence technologies in each of our products. You will be the point person for translating machine learning innovations into impactful products with new customers and transforming leading-edge ideas into production-ready, real-time solutions that will serve millions of users.
Link: https://jobs.lever.co/health-atscale/a3eaca98-c31a-44d9-90ef-491963af8622
Machine Learning Scientist
HEALTH[at]SCALE
Health at Scale is the market leader in precision health -- digital health programs that offer smart, hyper-personalized insights to help individuals choose the best providers, treatments, care settings and lifestyle choices for their unique healthcare needs. Founded by leading machine learning and clinical faculty from MIT, Stanford, Harvard and the University of Michigan, we work with some of the largest payers, employers and providers in the U.S. to improve outcomes, costs, access, and equity for their members. Health at Scale operates some of the largest deployments of AI in healthcare to date, covering millions of lives in production settings. We have been recognized for our innovation and as one of the fastest growing private companies by Forbes, Fast Company, Inc 500, UCSF Digital Health, Becker's, TechCrunch, Bloomberg and MIT News. For more information, please visit our website.

As a machine learning scientist at Health at Scale, you will work with an exceptional team of engineers, scientists, and clinicians to conduct focused research on new machine learning approaches that advance the company’s core product capabilities and the impact we deliver to customers. You will work closely with our engineers and data scientists to identify key opportunities to augment the algorithmic intelligence in each of our products, develop and evaluate new technologies for improvement, and put successful prototypes into production.
Link: https://jobs.lever.co/health-atscale/44ccecb4-7b11-4b10-8e6a-8ad91b00806b
Data Scientist
HEALTH[at]SCALE
Health at Scale is the market leader in precision health -- digital health programs that offer smart, hyper-personalized insights to help individuals choose the best providers, treatments, care settings and lifestyle choices for their unique healthcare needs. Founded by leading machine learning and clinical faculty from MIT, Stanford, Harvard and the University of Michigan, we work with some of the largest payers, employers and providers in the U.S. to improve outcomes, costs, access, and equity for their members. Health at Scale operates some of the largest deployments of AI in healthcare to date, covering millions of lives in production settings. We have been recognized for our innovation and as one of the fastest growing private companies by Forbes, Fast Company, Inc 500, UCSF Digital Health, Becker's, TechCrunch, Bloomberg and MIT News. For more information, please visit our website.

As a data scientist at Health at Scale, you will work with an exceptional team of engineers, scientists, and clinicians to understand customer needs, formulate precise problem statements, develop proof-of-concept machine learning approaches to improve patient care and outcomes, conduct exploratory analyses, and work with machine learning and software engineers to scale and deploy new tools. You will play a core role in engaging with a growing customer base to define new opportunities and develop new ways to measure and demonstrate the impact of our technologies.
Link: https://jobs.lever.co/health-atscale/662859f3-9dd5-4e24-a058-2d274d1534b4
ML/AI Scientists and Developers
Comcast Applied AI
Multiple positions open:

The Comcast Applied AI Team invents the technological foundations for the Xfinity experiences of the future. Besides long-term research efforts in NLP, computer vision, audio/voice, and media analytics, we support Comcast through innovations and technical expertise in machine learning and artificial intelligence (with a focus on deep and reinforcement learning).
Link: https://jobs.comcast.com/ml-ai-team-page
Applied Scientist Intern
Amazon
As an intern, you will work with top researchers and engineers to explore and devise new AI technologies for Natural Language Understanding. Your work will combine deep learning, data mining, exploration of new domains, as well as submission of your work to a top scientific conference.

Ideally, you are enrolled in a PhD program, have strong CS foundations, solid programming skills, and have already published at a peer-reviewed conference.
Applied Scientist
Amazon
My team is looking to hire Applied Scientists or Managers at senior level (Masters+8yrs or PhD+5yrs, Location: HYD/BLR/DEL) to solve real-world problems in Geospatial (Addresses & Locations) learning space. Following are the key skills we are looking for - 1) strong fundamentals and experience working with textual/multimodal data, 2) exposure to quality research/publications, and 3) ability to deploy and evaluate ML models at scale. You can read about the exciting problems we work on in the job description here - https://amazon.jobs/en/jobs/1817071/senior-applied-scientist-machine-learning-nlp-geospatial-science. If interested, please feel free to reach out on sohoneys@amazon.com for further queries.

#nlp #machinelearning #lastmilelogistics #lastmiledelivery #multilingual #predictivemodeling #multimodal #appliedscience #amazonscience #largescale
Link: https://amazon.jobs/en/jobs/1817071/senior-applied-scientist-machine-learning-nlp-geospatial-science
Full stack data scientist
Bayesian Health
In Brief

We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
We’re looking for a full-stack Data Scientist with expertise in state-of-the-art ML methods who wants to own the end-to-end effectiveness of their models in a live, clinical AI product.

For the job description, please visit :
https://tinyurl.com/bayesiandsml


Who We Are

Bayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, machine learning experts, and engineers committed to enabling smarter, patient-specific care delivery through unlocking the power of data.



What makes us different? We’re data analytics obsessed, but we also understand that to address our users’ needs, we must go beyond building great technology. After spending a decade working side by side with top clinicians from one of the world’s leading health systems, we know what it takes to develop usable, clinically-relevant solutions. We are experts at rummaging through messy, incomplete, biased datasets. We are able to make sense of, and continuously learn from data, to help our physicians practice more precise medicine.



Read more about the recent Nature Medicine publication of our large, two-year study of the effectiveness of our sepsis module: https://www.bayesianhealth.com/2022/07/21/sepsis-mortality-ai-adoption-nature-medicine-press-release/




Link: https://tinyurl.com/bayesiandsml
Data Scientist
AWS
Would you like to help us build the next-generation cloud services that will power the largest managed infrastructure in the world? We’re hiring a Data Scientist for AWS Compute Optimizer team within Amazon AWS Insights. Our service uses large amounts of data combined with machine learning (ML) and push the boundaries of scale, availability, and performance, while maintaining the highest standards for security and operational excellence.
AWS Compute Optimizer helps you choose optimal configurations for three types of AWS resources: Amazon EC2 instances, Amazon EBS volumes, and AWS Lambda functions, based on your utilization data. By applying the knowledge drawn from Amazon’s own experience running diverse workloads in the cloud, Compute Optimizer identifies workload patterns and recommends optimal AWS resources. Compute Optimizer analyzes the configuration and resource utilization of your workload to identify dozens of defining characteristics, for example, if a workload is CPU-intensive, if it exhibits a daily pattern, or if a workload accesses local storage frequently. The service processes these characteristics and identifies the hardware resource required by the workload. Compute Optimizer infers how the workload would have performed on various hardware platforms (e.g. Amazon EC2 instances types) or using different configurations (e.g. Amazon EBS volume IOPS settings, and AWS Lambda function memory sizes) to offer recommendations.
You will take on challenges in providing recommendations based on billions of metric records available for various customers and their use cases. You will be empowered to think big, invent on behalf of our customers, make judgment calls and find elegant solutions to hard problems.
Read more about AWS Compute Optimizer https://aws.amazon.com/compute-optimizer/
Link: None
Senior Product Manager, AI/ML
SAS Institute
As a Senior Product Manager, you will be responsible for helping to transform SAS’ product strategy for the SAS Viya platform, which may include Artificial Intelligence, Machine Learning and Intelligence Decisioning. In this high-profile role, you will be responsible for setting product direction and creating a roadmap in alignment with the portfolio vision. With your knowledge of Cloud computing, secure architecture design and software as a service, you will help grow our scalable, analytics-powered decisioning technology solutions. You will be shaping the future of how SAS technologies align with the transformative journey that customers have embarked on to incorporate market-leading analytics and modelOps into their business processes.
If you are passionate about the math that potentially saves lives, directs resources during natural disasters and identifies suspicious transactions indicative of fraud, then please join our team! Driving analytical innovation, real-time interactions and automating analytically driven decisions at scale—this is what our customers and partners do with the SAS Viya platform. You will craft new product features that bring additional, even more powerful capabilities to these organizations. You will play a strategic role in sales, marketing, customer support and enablement. You will communicate product content and knowledge to internal constituents and support the external presence of SAS and our offerings.
Link: https://careers-sas.icims.com/jobs/29118/sr-product-manager--remote/job
Machine Learning Engineer - Bloomberg Law
Bloomberg LP
*** Check out the Bloomberg booth in Hall D ***

Bloomberg Law is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers. Our goal is to become an indispensable tool for legal professionals by supporting their day-to-day tasks and providing solutions that help them get real-time answers and better serve their clients.

As part of our team, you will be developing machine learning (ML) models to our business needs. You will drive, design and develop machine learning solutions. A right combination of cross-field ML techniques, deep understanding of the business problem and high quality training data is fundamental to our models producing high quality models for our client’s needs. You will collaborate with product managers and legal domain experts to understand business problems and map them to ML problems. You will research cutting-edge ML/NLP techniques and apply them to our business problems. You will collaborate with legal domain experts to gain valuable insights and use their legal expertise to get high quality annotated training data. You will closely be working with product owners, legal data analysts (our domain experts), data engineers and front end engineers to build and integrate ML solutions to our product.
Link: https://careers.bloomberg.com/job/detail/104771
PHD DATA SCIENTIST (ML and OR) at P&G
Procter & Gamble
How would you like to own a complex modeling pipeline end-to-end in close partnership with business leadership? As a data scientist, you'll be using the combination of data and the latest cloud native technologies to solve real business problems. We need modelers who can design algorithms from data source identification to deployment. Ultimately you will be turning algorithms into business decisions and recommendations that drive value for the enterprise.
Link: https://www.pgcareers.com/job/cincinnati/phd-data-scientist-machine-learning-and-operations/936/11208465728?src=CWS-16141
MODEL RISK OFFICER at P&G
Procter & Gamble
Would you love to work with a diverse, global team of data scientists to help improve their models and algorithms? At P&G, we use advanced machine learning methods to tackle challenging business problems at industrial scale across Marketing, Sales, Supply Chain, and R&D. You will work across the breadth of our modeling efforts to identify potential risks in our data, models, and pipelines.
Link: https://www.pgcareers.com/us-datascience
Ph.D. Student in Machine Learning and Spatio-Temporal Data Analytics
University of Bonn
The Data Science & Intelligent Systems (DSIS) research group at the Department of Information Systems and Artificial Intelligence led by Professor Elena Demidova is recruiting:
Ph.D. Student in Machine Learning and Spatio-Temporal Data Analytics
(Duration: 3 years, full-time, starting at the earliest date possible)
The University of Bonn is a university of excellence and one of the leading universities in Germany. 
The DSIS research group conducts research in spatio-temporal data analytics, machine learning, knowledge graphs, and various application areas, including mobility, security, and neuroscience. Furthermore, we address the usability, explainability, and traceability of data analysis.
 
Your responsibilities:

You develop innovative solutions for real-world problems that require the analysis of very large spatio-temporal datasets.

Your research is linked to the Attention!, WorldKG, and iBehave projects and provides an essential contribution to the development of data analysis methods, machine learning models and knowledge graphs for spatio-temporal data.

You are involved in the research and teaching in data science and machine learning.

You contribute to student supervision.

Your profile:

University degree (master) in computer science or related fields of study

Very good knowledge of one or more of the relevant areas

Practical experience with current machine learning libraries, data management systems, as well as distributed data processing

Very good written and spoken English

Good communication and team skills

We offer:

A varied and demanding job in a group of excellent scientists at one of the leading universities in Germany

A salary at the government pay-scale TV-L 13

The contract duration of 3 years, full-time

Financial support to attend related conferences

Application:

If you are interested in this position, please send your application to Prof. Dr. Elena Demidova elena.demidova@cs.uni-bonn.de

You can also meet me in person at KDD.
Link: https://dsis.iai.uni-bonn.de/
Applied Researcher
eBay
Seek scientifically valid solutions that deliver real value to eBay customers
Build machine learning models and data pipelines to deliver insightful yet practical solutions
Work with multiple teams to help promote standard scientific methodologies and processes in your field
Present key technical and novel research work in public forums and conferences
Link: None
Software Engineer
eBay
4+ years of software design and development experience, solid foundation in computer science with strong proficiencies in data structures, algorithms, OOPs, and Software Design
Experience in designing and operating big data processing pipelines, such as: Hadoop, Spark, Hive, ETL
3+ years of software development experience in building large scale Web Services and Backend Applications using Java, C++, and related technologies
Proven results oriented person with a delivery focused in a high fast-paced and dynamic environment
Excellent verbal and written communication, collaboration, and influencing skills
Bachelor’s degree in computer science/engineering or equivalent professional experience, with 3+ years of experience,
Masters degree in computer science/engineering or equivalent professional experience, with 1+ years of experience.
Link: None
Search Science Data Scientist
eBay
We are looking for stellar data scientist to join us and build the next generation of query understanding products in eBay search. If you enjoy the scale and technical complexity of query processing (understanding query intent, entity resolution and tagging, categorization, intelligent query rewrites and clustering, application of knowledge graph, to name a few) and want to be at the frontier of applied research in e-commerce, join now. Help us redefine query understanding at eBay.

​Job Responsibilities
​Seek scientifically valid solutions that deliver real value to eBay customers
​Build machine learning models and data pipelines to deliver insightful yet practical solutions
​Work with multiple teams to help promote standard scientific methodologies and processes in your field
​Present key technical and novel research work in public forums and conferences

​Basic Qualifications
​MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
PhD or 1-3 years (with MS) of industrial experience in a related field
Experience with one or more of the following: classification, regression, NLP, GBM, recommendation systems, clustering, fraud detection, DeepLearning/Neural Networks, or related
​Experience in big data processing, e.g. Hadoop, SQL, Spark
​Experience with Python or R, and Java or Scala or C/C++
(Optional) Related publications in quality conferences or journals
Link: None
Applied Scientist (Natural Language Understanding)
Amazon
As an applied scientist you will be responsible for the research, design and development of new Natural Language Understanding, conversational AI, and other machine learning technologies for voice shopping. You will be working with top scientists and engineers, as well as with product teams and other research partners, both locally and abroad. Your work will combine data mining, systems and software development, exploration of new technologies, as well as publications and presentations at top scientific conferences.

The ideal candidates have deep expertise in one or several of the following fields: Machine Learning, Natural Language Processing, Conversational AI, Information Retrieval, Artificial Intelligence. An ideal candidate shows a bias for action and has a strong understanding of empirical methods. The ability to write clearly and speak convincingly as evidenced through participation in academic conferences and service in the scientific community are a must.
Research Internship
AWS Graph Machine Learning Labs
The AWS Graph Machine Learning (AGML) Labs in AWS AI Research and Education group is looking for PhD students worldwide in NLP, Machine Learning, and Data Mining to join us in 2023 as applied scientist interns. As an intern in the group, you will work on many challenging problems in industry such as learning representations on massive dynamic graphs, performing real-time inference on graph neural network models on large scale graph, modeling multi-modal data on many entities connected with complex relations, reasoning over knowledge graphs, integrating data in a large data lake. In this role, you will leverage your expertise in areas such as graph neural networks, natural language processing and deep learning in general as well high-performance computing and distributed computation. You will enjoy the internship in the team if you like working on massive data sets, see you research results deployed in production and publish you work at top conferences. Our internship encourages publications. In addition to highly competitive compensation, you will receive full support of your research and publication during your internship, including mentorship and advisory from top Scholars in the field. We look for interns in Spring, Summer, and Fall.
Link: https://infograph.venngage.com/pl/sMHfpRap450
Senior Data Scientist / Data Scientist / Applied AI Researcher
Analog Devices, Inc.
We are an entrepreneurial Data Science and Digital Innovation group at Analog Devices, Inc. (ADI). We are open to varied backgrounds and experience, requiring only curiosity and desire to apply AI for business impact. Please contact me or anyone from ADI at the conference.
Link: https://careers.analog.com/job/24982/Senior-Data-Scientist
Analytics Software Development Engineer in Test
SAS Institute
What we do
We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo and changing the way we live.

What you’ll do
As a Software Development Engineer in Test and a member of the Artificial Intelligence and Machine Learning team in the R&D Advanced Analytics division at SAS, you will be responsible for software testing activities throughout the software release cycle for the SAS Visual Text Analytics product.

Your primary focus will be developing self-verifying, fully automated tests to validate REST APIs and product workflows. This effort will require working closely with development and test peers to devise a thorough test approach for new and existing requirements.
Link: https://careers-sas.icims.com/jobs/30251/job?mobile=true&width=390&height=664&bga=true&needsRedirect=false&jan1offset=-300&jun1offset=-240
ML Engineer / ML Scientist
Peraton Labs
Role and responsibility for this position:

The ML Scientist / Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in electronic CAD design. The ideal candidate will be able to start from the end users' needs and understand how they drive performance and infrastructure requirements. Our program team consists of seven scientists and engineers and the candidate will help develop a neo4j ML framework that attributes relevant documentation to graph structures. The ideal candidate has experience converting customers' needs into user interface requirements and baselining and scaling ML solutions using CI/CD best practices.



Qualifications Section:



Education/Experience Required:
Ph+2, MA+4, etc



Skills and Experience You Must Possess:

Pytorch, Tensorflow, Java

Classification, outlier detection, NLP, regression, object detection

Active learning, Semi-supervised learning

Modern development practices and toolsets (Git, CI/CD toolchains)



Additional Desired Skills;

Electronic schematic design, ECAD, FPGA, or analog circuitry experience

Neo4j, ArangoDB

Debugging tools (e.g. gdb and pdb )

Matplotlib,, jupyter

Container and Orchestration solutions, including Docker, Docker Swarm, Kubernetes, Terraform



Minimum Clearance Required: None
Uncleared ok, Top Secret Preferred
Senior Software Engineer - AdTech
Indeed.com
We’re building a smart, intuitive and insightful Ads Platform that enables data-informed decision making and seamless end-to-end management of all job postings and with that objective we need a Software Engineer to use their expertise in big data, machine learning, and/or feedback control to solve problems like ads performance optimization, high-performing serving, ads ranking, personalized targeting etc.

Responsibilities:
Experiment and build ad systems that help employers find the best candidates and help job seekers find their dream jobs.
Build and scale data pipelines for processing of enormous amounts of user and ads data, e.g. extract, cluster or classify high-quality features from unstructured data.
Help scale our data infrastructure for massive sets of data to enable millions of database lookups.
Help build feedback control algorithms for ad systems to optimize ads performance.
Have ownership over the things you build, help shape the product and technical vision, direction, and how we iterate.
Work closely with the product managers and stakeholders so that they can leverage your components.
Run numerous experiments in a fast-paced, analytical culture so you can quickly learn and adapt your work.

Who You Are
Bachelor’s degree required in Computer Science, Electrical Engineering, Computer Engineering or Mathematics or equivalent field required
Experience in distributed systems, preferably in digital advertising such as ads serving, bidding, ranking or targeting.
3+ years experience in Java, Python, or C++. Java and Springboot experience preferred
Passionate about using data-driven approaches to solve the challenging problems in advertising.
Have strong ownership of your work and the problems you solve.

More Indeed Jobs can be found at https://www.indeed.com/jobs?q=indeed%20com&l&sc=0fcckey%3Aa718462517070ed0%2Cq%3Acom%3B&vjk=668ce02907465c79
Link: https://www.indeed.com/m/viewjob?jk=10549b58fb657f27
Knowledge Graph Research Scientist
Huawei R&D UK
Huawei is looking for a Knowledge Graph Research Scientist/Senior Research Scientist with research and development experience in areas such as knowledge graph construction, knowledge graph embeddings, Linked Data, semantic search (text/image/video), personalized search, discourse analysis/understanding, recommendation, question answering etc. Experience in ML, NLP or Linked Data as well as good engineering background in Python (coding best practices) are desirable.
Senior Data Scientist -Minneapolis (US Remote Eligible)
General Mills
Do you see patterns or opportunities that others don’t see? Do you enjoying asking questions and analyzing data to deepen your knowledge? Do you like to challenge historical assumptions and recommend new ways to drive action based on data driven insights? Do you like to find the best way to tackle a problem and share the approach with others?

General Mills is seeking a Data Scientist to join a new data science team in Digital and Technology that is tasked with collaborating with and enabling existing functional data science and analytics teams. This team also provides data science expertise and services to advance initiatives around demand forecasting, text classification, operational analytics, and machine learning to name just a few. It is also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills.
Link: https://careers.generalmills.com/careers/jobs/16955?lang=en-us&previousLocale=en-US
Data Scientist - Natural Language Processing and Text Mining
Vianai Systems
You will be part of ML/Data Science team focus on building enterprise grade AI/ML application
Apply both natural language processing and text mining techniques to real world challenges, include but not limited to research, modeling, validation, deployment
Hands on major ML/DL framework
Strong mathematical, analytical and quantitative problem solving abilities
M.S. or PhD in computer science or related degree
Link: https://www.vian.ai
Research Intern or Applied Scientist (Time Series)
Alibaba DAMO
Alibaba is one of the largest and most advanced internet, cloud, e-commerce, retail, logistics and technology company in the world. Our team at Decision Intelligence Lab (https://lnkd.in/ggbcKBWc) of Alibaba DAMO Academy's mission is to build high-impact artificial intelligence technologies that will empower the core business of Alibaba, and create new business opportunities that are otherwise impossible.

Temporal machine learning/data mining (AI for time series, XAI) in our team has a lot of applications in Alibaba’s business, including E-commerce and AIOps in cloud service maintenance and diagnosis. Some challenging problems we are dealing with include Forecasting, Anomaly Detection, and Optimization for Time-Series/Spatio-Temporal/Event Data, and XAI/AutoML/Insights Discovery for Sequential Data.
Data Scientist - Conversational AI
Home Depot
Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
Link: None
Sr. Applied Research Scientist - IR/NLP
Thomson Reuters Labs
As a scientist in labs, you will be part of a global interdisciplinary team of experts. TR labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long term research for the future. Find details in the link.
Link: https://jobs.thomsonreuters.com/job/16324431/senior-applied-research-scientist-nlp-toronto-ca/
Sr. Applied research scientist -NLP
Thomson Reuters Labs
As a scientist in labs, you will be part of a global interdisciplinary team of experts. TR labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long term research for the future. Find details in the link.
Link: jobs.thomsonreuters.com/job/15499930/senior-applied-research-scientist-nlp-zug-ch/
Sr Manager, Data Science
Capital One
Please read details from the link
Link: https://capitalone.wd1.myworkdayjobs.com/Capital_One/job/McLean-VA/Sr-Manager--Data-Science---Corporate-Audit-and-Security-Services_R147999-1
Research Assistant Professor
Univ. Texas Health Science Center at Houston
The University of Texas Health Science Center at Houston (UTHealth-https://www.uth.edu/) School of Biomedical Informatics (SBMI-https://sbmi.uth.edu/) seeks two exceptional candidates for its Center for Data Science and Informatics Core for Cancer (DSICCR) for research assistant professor, non-tenure track, faculty.
The positions are full-time, 12-month appointments, and renewable yearly. The salary is competitive and dependent upon qualifications and experience.

DSICCR has a robust computing infrastructure, a cross-disciplinary team, and a productive track record in the area of data science, informatics, and artificial intelligence. Candidates are encouraged to visit its website (https://sbmi.uth.edu/dsiccr/) to learn more about DSICCR.

Responsibilities:
The successful candidate will be expected to plan, coordinate, and direct data science and informatics research and service in structural biology and related fields. The candidate will provide technical expertise to facilitate the study, design, data collection, analysis pipeline development, data analysis, and results in interpretation, as well as manuscript writing and grant proposal preparation. Collaborative research with faculty at UTHealth and other Texas institutions is included among the candidate’s responsibilities.

Qualifications:
The individual should possess a doctoral degree in the areas of bioinformatics, biostatistics, computational biology, or other quantitative sciences with research and training in bioinformatics. A record of verifiable, published research in bioinformatics is needed. The potential for obtaining extramural funding is not required but encouraged. Excellent teamwork and communication skills are required.

How to Apply:
See job link below
Link: https://uth.referrals.selectminds.com/faculty/jobs/research-assistant-professor-non-tenure-track-center-for-data-science-and-informatics-core-dsicrr-school-of-biomedical-informatics-14308
Staff Engineer — Machine Learning
LinkedIn
Check out this job at LinkedIn: https://www.linkedin.com/jobs/view/3129984150
Link: None
Amazon science and engineering opportunities in Romania
Amazon
At Autonomous Insights and Discovery (AID), our development center in Romania researches and develops ML solutions to automate document information and validation, and builds software services to production ML and document automation orchestration and processing flows. Engineers and scientists interested in working in Romania (Bucharest or Iasi) are welcome for a coffee chat! (Hall D, table behind the Amazon booth, Wed Aug 17, 4.30-5.00pm) if you can’t make it, ping me directly (mingweis@amazon.com) for more info.
Link: None
Senior Data Scientist
Amazon
Who we are:
We are a cross functional team of data/applied science, business intelligence engineering and data engineering. We focus on driving excellence in all stages of ML NLP model development and inventing the state-of-the-art in human in the loop process, and also offer data analytics and statistical modeling support for business product team.

Role Expectation:
• Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
• Design structured, multi-source data/modeling solutions to deliver results
• Establish scalable, efficient, automated processes for large scale data analyses, ML/Statistics model development, model validation and model implementation
• Preprocess and analyze unstructured text data by NLP techniques to understand customer needs and product enhancement
• Conduct A/B test experiment and deliver causal inference statistical recommendation to support product dial-up decision
• Coach junior data scientists in the team by turning business requirements into functional specifications and then executing delivery
• Lead the technical project end-to-end lifecycle.

Experience and Skills:
ML, statistics modeling, NLP, Big Data, Python

Must-have:
• Master’s degree in Statistics, Engineering, Computer Science, Mathematics, or a related field
• 5+ years of working experience as a Data Scientist
• Ability to structure a problem, gather supporting data using big-data technology (AWS tools, Python, SQL) and large-scale data warehousing, and write strong narratives to convey findings.
• 5+ years of diverse experience in data science methodologies (statistics/ML modeling, A/B test experimentation, statistical analysis, causal inference, etc.)
• Knowledge on unstructured text data analysis/ sentiment analysis/ model technologies
• Experience on data visualization/dashboard by Tableau
• Strong communication and data presentation skills and problem solving ability
Link: https://www.amazon.jobs/en/jobs/2131083/senior-data-scientist?no_int_redir=1
Associate Software Engineer
SAS Institute
Are you a problem solver, explorer, and knowledge seeker – always asking, “What if?”

If so, then you may be the new team member we’re looking for. Because at SAS, your curiosity matters – whether you’re developing algorithms, creating customer experiences or answering critical questions. Curiosity is our code, and the opportunities here are endless.

What we do:

We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo and changing the way we live.

What you’ll do:

As a Software Engineer in the AI and Machine Learning R&D organization, you will join a team of talented engineers working collaboratively to deliver innovative products, and solutions for different problems related to Natural Language Processing. You will contribute to projects spanning a diverse set of technologies targeted at both cloud, and on-premise deployments.
Link: https://careers-sas.icims.com/jobs/30593/associate-software-engineer/job?hub=9&mobile=false&width=1170&height=500&bga=true&needsRedirect=false&jan1offset=-300&jun1offset=-240
Machine Learning Scientist - Deep Learning
ASOS.com
ASOS is one of the UK’s top fashion and beauty destinations, expanding globally at a rapid pace. Our values are to be authentic, brave and creative, and we live and breathe these in everything we do.

Digital Experience at ASOS is all about finding new ways to improve our customers’ shopping experiences. Thinking about what our customers really want from their shopping experience keeps the User Experience team awake at night (well, busy in the day!). Their job is to create the most usable and engaging experience possible. Our digital analytics team spend their days understanding where our users come from and what they do when they’re on the site. We want to know how they find us, the devices they use, how they interact with the site, and how successful we are at converting them into customers.

As a machine learning scientist, you will be part of a cross-functional team focused on our digital experience (such as personalisation, search or ranking). We passionately believe that cross-functional working is the key to any successful machine learning production system. The whole team is responsible for the end-to-end system, and we are all accountable for making sure it performs in production.

You will be focused on framing digital experience problems as machine learning problems using multiple rich sources (image, text) and large volume sources (clickstream). You will help build models using deep learning frameworks that can be served at scale using large volumes of data and big data technologies.

You will participate in conducting large-scale experiments to test hypotheses and drive product development. You will keep up to date with relevant state-of-the-art research by attending and publishing at top conferences as well as taking part and leading reading groups alongside other scientists.

At ASOS we have unique datasets -transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products.
Link: https://asos.github.io/data-science/
Senior Machine Learning Engineer
ASOS.com
We believe fashion can make you look, feel and be your best and, with technology in our DNA, we deliver the latest trends to our digital-obsessed 20-something market. Our award winning Tech teams sit at the heart of our business. We deliver technical innovation and pioneer incredible solutions, which are crucial to our continued success. We’re extremely ambitious and thrive on the individuality of our amazing employees. Our values encompass everything needed for our tech people to be the thought leaders of tomorrow.

We are looking for Senior Machine Learning Engineers to join our team and play a key role in helping ASOS provide the best shopping experience to our millions of customers. The role offers broad exposure to ASOS, requiring close collaboration with retail, marketing and technology divisions. You will be part of a highly innovative AI platform working alongside big data engineers and machine learning scientists to solve and productionise interesting and difficult problems and leveraging cutting edge technology. At ASOS, as an online only retailer, we have unique datasets - transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products.
The ideal candidate will have a strong technical background and experience solving tough problems with large datasets. You will be a highly intelligent self-starter, able to work independently with a strong attention to detail.

Role

Building and improving internal and external facing data products as part of a cross-functional team
Driving the implementation and scale-up of algorithms for measurable impact across the business
Deploying batch/online machine learning models at the scale that ASOS operates
Creating the tools, frameworks and infrastructure that enables the acceleration of our ML products delivery and optimisation of our operations
Taking an active part in our AI platform to establish ML Ops standards and drive quality across our estate
Link: https://asos.github.io/data-science/
Engineering Manager - Machine Learning
ASOS.com
As an Engineering Manager – Machine Learning at ASOS, your primary responsibility is to the people you manage ensuring they grow as engineers, assisting them in their personal and professional development and of course ensuring they are having a great time at ASOS. You will be carrying out line management responsibilities for several engineers across multiple teams including catch ups, reviews and personal development planning.

Full details in the link above
Link: https://asos.github.io/data-science/
Data Scientist - Optimization and ML, Rideshare Labs
Lyft
Data Scientist - Optimization and ML,
Rideshare Labs
at Lyft
New York or San Francisco or Seattle or Remote
Please contact Ricky Chachra (Data Science Manager) directly about this opening. ricky@lyft.com
At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Data Science is at the heart of Lyft’s products and decision-making. The Rideshare Labs is a data science research and development team at Lyft working on some of the most challenging data science problems in the industry spanning from optimization to experimentation. We are in the enviable position to re-engineer our roadmap to align with the most pressing needs of the company. Moreover, we are also able to take on multiple longer-term or riskier projects than many of our partner teams are able to.
For this opening in particular, you will be developing mathematical models underpinning the platform’s core services heavily leveraging skills in optimization and ML. You will be on the frontlines with full freedom to conceive and implement your next gen ideas for the efficient management of the two-sided marketplace. We are looking for skilled and motivated self-starters to work alongside some of the brightest colleagues in the field including several well-known academics that regularly work alongside us.

Experience:
● M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience
● 4+ years of professional experience in a technology company setting involving a product
● Passion for solving unstructured and non-standard mathematical problems
● End-to-end experience with data, including querying, aggregation, analysis, and visualization
● Proficiency with Python, or another interpreted programming language like R or Matlab
● Ability to collaborate and communicate with others to solve a problem

Link: None
Data Scientist
Point72 Asset Management
Our Data Scientists conduct research through data mining and statistical modeling to discover insights from Big Data that are used by our investment professionals to make investment decisions. You will have the opportunity to work in a highly collegial environment that emphasizes teaching and learning as a team. In this role, you will:

Tackle the challenges of featuring and modeling large and unstructured data using machine learning and statistical techniques

Manage all aspects of the research and execution process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring

Deliver research findings to investment teams, portfolio managers, and other internal clients

Work within a team to help drive technical innovation through a collaborative R&D process
Link: https://boards.greenhouse.io/point72/jobs/4644238002?gh_src=db9e2bf92us
Senior Data Scientist
Thumbtack
A home is the biggest investment most people make, and yet, it doesn’t come with a manual. That’s why we’re building the only app homeowners need to effortlessly manage their homes — knowing what to do, when to do it, and who to hire.

Thumbtack by the Numbers

Available nationwide in all 3,143 U.S. counties
70 million projects started on Thumbtack
More than 4 million customers in the last 12 months
Pros earn billions on our platform
More than 8 million 5-star reviews for our stellar pros
1000+ employees and $3.2 billion valuation (June, 2021)
About the Data Science Team

We’re looking for data scientists with deep expertise in machine learning, optimization, building data products, and/or statistics. As part of a small product team you will have full ownership over your domain, so you should be a person who dreams big, then executes well

At Thumbtack, the Data Science team is responsible for a wide variety of problems spanning machine learning, statistics, and computer science:

Characterize marketplace dynamics. Thumbtack’s marketplaces are comprised of thousands of active markets across our service categories and U.S. cities. Via exploratory data analysis and experimental design, our team works to understand trends and behaviors within these markets.

Improve customer and service provider matching. Matching and optimization algorithms are fundamental to Thumbtack’s product: we now service millions of matches per week. Identifying better matches between customers and service providers has an incredible impact on the experience of customers and professionals transacting on our platform.

Model complex relationships in the presence of many confounding factors. Predictive modeling problems are everywhere across our product. Our team works to scope, design and implement machine learning models to support Thumbtack

Link: https://boards.greenhouse.io/thumbtack/jobs/3514412
Principal Data Scientist
Johnson Controls, inc
see the web link for full details. Half had to be deleted for this text section.

Principal Data Scientist

Pune-Maharashtra-India
job requisition idWD30147215


Required

Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked closely with others who have put their models into production. The models should have been validated as robust over at least an initial time period.  Models that have only been used for a one-off don’t count.

8+ years of industry work experience specifically developing data mining models which were deployed and used.

Programming experience in Python is core using data mining related libraries like Scikit-Learn, NumPy, SciPy and Pandas. 

Data mining algorithm experience in at least 3 algorithms within any of the bullets below:-

Deep learning (TensorFlow/Keras, Convolutional Neural Nets (CNN) or related).  Valid transferrable skills include PyTorch.  Common architectures we use includes Transformers, LSTM, EfficientDet, YOLO, ResNet.

prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles of models and so on),

clustering (k-means, hierarchical, DBSCAN or other)
Link: https://jci.wd5.myworkdayjobs.com/JCI/job/Pune-Maharashtra-India/Principal-Data-Scientist_WD30147215-4
Applied scientist intern in NLP/causal inference at Core AI team in Amazon
Amazon
Core AI team assists business groups in building products that require deep scientific expertise and help them create critical mass by providing a pool of AI expert resources. Our team offers a one-stop-shop where business leaders will get help to frame scientific AI problems along with the suitable business context. We are looking for applied scientist interns (including summer and full semester internship) to work with a team of applied scientists, software engineers, and scholars on AI problems including natural language, causality, etc. Our team members include AI/ML leader Michael Jordan, Nobel Prize laureates Guido Imbens and David Card, and many other Amazon scholars who are academic leaders in machine learning, economics, statistics and computer science.

As part of the Core AI team, you will develop models on natural language processing (NLP), causal inference, deep neural network, reinforcement learning, etc. You will identify new areas of exploration in and between generative NLP models and causal inference. You will work with the world famous ML scientists, statisticians, and economists to deliver innovative and scalable state of the art solutions, with opportunities to publish your work. You will develop novel solutions using large-scale real-world datasets and partner closely with a dedicated engineering and product team to build, evaluate, and deliver your solutions. You will contribute to the long-term direction of Amazon eCommerce and influence our Customer experience with Amazon. If interested, please send your CV to ruisong@amazon.com.
Link: None
Software Engineer II - Enterprise Team
Indeed.com
Indeed’s Ad Relevance team is looking for exceptional software engineers to join us in building machine learning systems for model development that support Indeed Ads business. Our mission is to help employers find the right candidates for their listings, easing the job of finding the right people, right now.

The challenges that come with the scale of Indeed’s ecosystem pose interesting technical problems to solve that move the needle for our program. You will join a team that works every day to solve problems like high performance real-time services, job ranking and personalized targeting.

Design and build world class systems that help employers find the best candidates and help job seekers find their dream jobs.
Influence and drive the technical vision of our systems.
Define approaches to scale our data pipeline for real-time processing of enormous amounts of user behavioral data.
Work closely with design teammates to improve some of the highest trafficked parts of Indeed including the homepage and job search.
Work closely with the product managers and stakeholders to help shape our product vision.
Run experiments in a fast-paced, analytical culture so we can quickly learn and adapt your work.
Guide and mentor other engineers on the team.
Be the technical leadership for projects to design solutions and break down work on complex problems delivered by multiple engineers
Define incremental approaches to innovation and adoption of new technologies into our architecture.

More Indeed Jobs can be found at https://www.indeed.com/jobs?q=indeed%20com&l&sc=0fcckey%3Aa718462517070ed0%2Cq%3Acom%3B&vjk=668ce02907465c79
Link: https://www.indeed.com/m/viewjob?jk=db08d1609ab2bcf7
Principal Software Engineer - AdTech
Indeed.com
Advertising is a major source of revenue for Indeed, and we are looking for someone to join our team of highly motivated and talented engineers working on this mission critical system and transforming the way employers connect to their ideal candidates from millions of Indeed users. The Bidding & Optimization organization’s mission is to maximize the value Enterprise employers get from Indeed by optimizing their advertising budgets to deliver on hiring objectives. Our team of world-class engineers build the core platform capabilities, algorithms, and models to deliver the right jobs to the right job seekers at Indeed, Glassdoor, and other job sites.

As a principal software engineer, you will provide technical leadership across multiple teams, develop a deep understanding of the existing systems, and help design the next generation Advertising platform capabilities at Indeed. This role will be a combination of hands-on technical development, architecture/design, mentorship, and working with product/engineering leadership to drive the vision, set goals, and build the roadmap, with the opportunity to collaborate with various teams across the United States, Europe, and Asia Pacific.

More Indeed Jobs can be found at https://www.indeed.com/jobs?q=indeed%20com&l&sc=0fcckey%3Aa718462517070ed0%2Cq%3Acom%3B&vjk=668ce02907465c79
Link: https://www.indeed.com/m/viewjob?jk=37e758df7e4cb974
Applied scientist intern in RL/bandits in Core AI team at Amazon
Amazon
Core AI team assists business groups in building products that require deep scientific expertise and help them create critical mass by providing a pool of AI expert resources. Our team offers a one-stop-shop where business leaders will get help to frame scientific AI problems along with the suitable business context. We are looking for Applied Scientist Interns (including both summer and full-semester internship) to work with a team of applied scientists, software engineers, and scholars on AI problems including natural language, causality, etc. Our team members include AI/ML leader Michael Jordan, Nobel Prize laureates Guido Imbens and David Card, and many other Amazon scholars who are academic leaders in machine learning, economics, statistics and computer science.

As part of the Core AI team, you will invent and productionize advanced Reinforcement Learning/Bandits methodology to revolutionize critical systems that have direct impacts on Amazon business. You will work with world famous ML scientists, statisticians, and economists to deliver innovative and scalable state of the art solutions, with publication opportunities. You will develop novel solutions using large-scale real-world datasets and partner closely with a dedicated engineering and product team to build, evaluate, and deliver your solutions. You will contribute to the long-term direction of Amazon business and influence the customer experience.


If interested, please send your CV to ruisong@amazon.com.
Link: None
Applied scientist intern - NLP research
Amazon
Work on cutting edge research in NLP for publication
Link: None
PhD Research Assistantships
University of Maryland Baltimore County
Multiple PhD research assistantships (Full-time and Part-time) available in Information Systems Department at University of Maryland Baltimore County. The IS Department offers two PhD programs. The PhD programs are research oriented and are intended for graduate students who are interested in interdisciplinary research in AI/ML, data science, health, human centered computing, and software engineering.
Link: None
KeyByte intern/ICAN Purdue postdoc/software engineer
Purdue, KeyByte
https://schaterji.io/team/apply.html
https://keybyte.xyz/jobs.html
Come work with an exciting team of machine learning enthusiasts and applied engineers to build algorithms for cloud computing, IoT, genomics. Here's your chance to work for our new cloud computing/serverless computing startup (keybyte.xyz). The startup has its roots in 3 USENIX ATC, 1 OSDI, and 1 Sigmetrics (best paper award) paper. Backend ML for databases or automatic reconfiguration for cloud performance and joint optimization of both: database and cloud VMs. College of Engineering is rank #4; ECE is rank #11; ABE is rank #1. Be a part of multiple centers on campus (A2I2, CRISP, WHIN). Funded by NSF, DOD, NIH, industry sponsors. Attractive packages based on expertise for postdoc/software engineer.
Link: keybyte.xyz
Applied Science manager
Amazon
Amazon is investing heavily in building a world-class advertising business. Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace organization optimizes the systems and ad placements to match advertiser demand with publisher supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus.
We are seeking an Applied Science Manager who has a solid background in applied Machine Learning and AI, deep passion for building data-driven products; ability to communicate data insights and scientific vision, and has a proven track record of leading both applied scientists and software engineers to execute complex projects and deliver business impacts.

**Qualifications:**
* MS/Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Mathematics, or related discipline
* Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.
* Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization
* Experience in computational advertising, recommendation system
Research part-time/full-time intern
Amazon
Amazon M5 large foundation model team is looking for part-time/full time research interns for large-scale pretrain model related directions, including but not limiting to large scale model pretraining, large scale model improvement, large scale model application and large model speed up. The internship will target on developing cutting edge methods for large models and publish top tier papers and models. We are currently looking for part-time interns for this year and part/full-time intern next year.
Link: None
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