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.

Job details

CAN, ON, Toronto

Ring, Blink, & Amazon Key

Machine Learning Science