Amazon Development Centre Canada ULC

Machine Learning Science, Applied Science, alexa and amazon devices

AppliedScientist,RingAI

CA$175–250k ~AI est. Toronto, Ontario, Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Applied Scientist, Ring AI at Amazon Development Centre Canada ULC. Skills: Computer vision, Machine learning, LLMs, Algorithm development. Participate in design of data-driven models. Participate in development of data-driven models”

What You'll Achieve.

Improve lives of millions; Make neighborhoods safer

Industry & Context.

Machine Learning Science, Applied Science, alexa and amazon devices
Problems you'll solve

Data-driven decision making

What They're Looking For.

Must Have

Master's degree and 4+ years experience, Experience building models for business, Experience programming in Java, C++, Python, Experience developing deep learning algorithms, Experience with computer vision algorithms

Nice to Have

Experience creating novel algorithms, Experience advancing state of the art, Experience designing AI products, Experience designing Computer Vision products, Experience designing Mapping products, Experience communicating technical concepts, Experience in Vision Language Models, Experience in LLMs

What You'll Do.

Participate in design of data-driven models

Participate in development of data-driven models

Participate in evaluation of data-driven models

Participate in deployment of data-driven models

Participate in updating of data-driven models

Research state-of-the-art algorithms

Implement state-of-the-art algorithms

Research Vision Language models

Implement Vision Language models

Collaborate with product managers

Collaborate with engineering teams

Design computer vision features

Implement computer vision features

Design machine learning features

Implement machine learning features

Influence system design

Influence product vision

Make informed decisions on technology selection

Make informed decisions on data source selection

Make informed decisions on algorithm selection

Make informed decisions on sensor selection

How You'll Work.

Team & Collaboration

Collaborate with different Amazon teams

Communication Scope

Technical concepts

Full Job Description

Are you a passionate scientist in the computer vision area who is aspired to apply your skills to bring value to millions of customers? Here at Ring, we have a unique opportunity to innovate and see how the results of our work improve the lives of millions of people and make neighborhoods safer. You will be part of a team committed to pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors. This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work on scale. This position requires experience with developing Multi-modal LLMs and Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms. Key job responsibilities - Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications. - Research and implement the state-of-the-art computer vision and Vision Language models algorithms. - Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring devices - Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in building models for business application - Experience programming in Java, C++, Python or related language - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms Preferred Qualifications: - Experience creating novel algorithms and advancing the state of the art - Experience designing AI, Computer Vision, or Mapping products - Experience communicating technical concepts to a non-techn

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