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Sr Applied Scientist

Amazon

Toronto

On-site

CAD 100,000 - 130,000

Full time

Yesterday
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Job summary

A leading technology firm in Toronto seeks an Applied Scientist in computer vision to develop innovative algorithms for its products. Candidates should have a PhD or Master's and experience in machine learning and programming. This role involves research and collaboration with engineering teams to enhance product features. Join us to create impactful solutions that improve community safety.

Qualifications

  • 3+ years of building machine learning models for business applications.
  • PhD or Master's degree and 6+ years of applied research experience.
  • Experience programming in Java, C++, Python or related language.

Responsibilities

  • Participate in design and development of data-driven models for computer vision applications.
  • Research and implement algorithms for computer vision and Vision Language models.
  • Collaborate with teams to design machine learning features for devices.
  • Influence system design and product vision through informed technology selection.

Skills

Machine learning models development
Computer vision algorithms
Programming in Java, C++, Python
Neural deep learning methods

Education

PhD or Master's degree
Job description

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.

As an Applied Scientist, you will work with talented peers 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 at scale. This position requires experience with developing Multi-modal LLMs and/or 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

  • 3+ years of building machine learning models for business application experience

  • PhD, or Master's degree and 6+ years of applied research experience

  • Experience programming in Java, C++, Python or related language

  • Experience with neural deep learning methods and machine learning

Preferred Qualifications

  • Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art

  • Experienced in prototyping, designing, implementing and deploying computer vision applications and tools

  • Effective verbal and written communication skills with non-technical and technical audiences.

  • Exhibits excellent business judgment; balances business, product, and technology very well.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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