Research Scientist, (Machine Learning) (Mississauga)

Are you a passionate scientist in the computer vision area who is aspiring 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 a Principal 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 Computer Vision, 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 Define key research directions in Multimodal LLMs and Computer Vision, adopt or invent new techniques, conduct rigorous experiments, publish results, and ensure research is translated into practice. Develop long‑term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. Participate in organizational planning, hiring, mentorship and leadership development. Serve as a key scientific resource in full‑cycle development (conception, design, implementation, testing, documentation, delivery, and maintenance). Basic Qualifications PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field. 10+ years of practical work applying ML to solve complex problems. Experience programming in Java, C++, Python or related language. Experience leading experienced scientists and having a record of developing junior members from academia or industry to a career track in a business environment. Experience with computer vision, vision language models, deep learning, and/or natural language processing. Preferred Qualifications Knowledge of problem solving, algorithm design and complexity analysis. Experience creating novel algorithms and advancing the state of the art. Peer‑reviewed scientific contributions in premier journals and conferences. The base salary range for this position is 241,000.00 – 402,500.00 CAD annually. As a total compensation company, Amazon's package may include other elements such as sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D; insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well‑being. Amazon is an equal prospect employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Apply on Kit Job: kitjob.ca/job/2pro2p