Sr Applied Scientist

AmazonSunnyvale, CA
$192,200 - $260,000Onsite

About The Position

We are seeking a passionate scientist in the computer vision area who is aspiring to apply their skills to bring value to millions of customers. 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 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.

Requirements

  • 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

Nice To Haves

  • Experience creating novel algorithms and advancing the state of the art
  • Experience creating and delivering written and oral communications for technical and non-technical audiences
  • Experienced in prototyping, designing, implementing and deploying computer vision applications and tools
  • Exhibits excellent business judgment; balances business, product, and technology very well.

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.

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
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