Sr Applied Scientist

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

Sr. Applied Scientist at Amazon Ring focused on computer vision and machine learning to improve customer experience and neighborhood safety. The role involves developing and deploying data-driven models, researching state-of-the-art algorithms, and collaborating with product and engineering teams. Requires experience with Multi-modal LLMs/Vision Language Models and experience in building ML models for business applications.

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 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.

What the JD emphasized

  • developing Multi-modal LLMs and/or Vision Language Models
  • state-of-the-art computer vision and Vision Language models algorithms

Other signals

  • develops computer vision and machine learning based features for Ring devices
  • develops Multi-modal LLMs and/or Vision Language Models
  • develops highly optimized algorithms that will work at scale