Sr Applied Scientist, Ring AI

Amazon Amazon · Big Tech · Sunnyvale, CA · Machine Learning Science

Senior Applied Scientist role focused on computer vision and multi-modal LLMs for consumer products (Ring devices). Involves research, development, evaluation, and deployment of ML models, with a focus on optimizing algorithms for scale and influencing product vision. Requires experience with deep learning, neural networks, and programming languages like Python.

What you'd actually do

  1. Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications.
  2. Research and implement the state-of-the-art computer vision and Vision Language models algorithms.
  3. Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring devices
  4. Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.

Skills

Required

  • 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 have

  • Experience creating novel algorithms and advancing the state of the art
  • Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
  • Experience shaping business strategy for technical products or services for large enterprises or partners
  • Experienced in prototyping, designing, optimizing, implementing and deploying computer vision applications and tools

What the JD emphasized

  • pushing the frontier of computer vision and machine learning technology
  • developing highly optimized algorithms that will work at scale
  • Experience creating novel algorithms and advancing the state of the art

Other signals

  • computer vision
  • multi-modal LLMs
  • vision language models
  • deploying models
  • state-of-the-art algorithms