Sr. Applied Scientist, Amazon Robotics, Structured Field Coordinated Planning & Control

Amazon Amazon · Big Tech · North Reading, MA · Applied Science

Senior Applied Scientist role focused on AI-driven structured field robotics, including path planning, fleet coordination, and control systems. The role involves leading research, translating breakthroughs into production solutions at scale, and owning end-to-end delivery of algorithmic solutions. It requires a PhD or Master's with significant experience in robotics, ML, and algorithm development, with a focus on publishing research and mentoring junior scientists. The team operates at the intersection of planning, algorithmic, and ML research with production systems.

What you'd actually do

  1. Lead research initiatives advancing AI-driven structured field robotics (path planning, fleet coordination, control systems) and translate breakthroughs into production solutions at global scale
  2. Own end-to-end delivery of complex algorithmic solutions from design through production deployment and operational maintenance
  3. Drive technical decisions for Control, Coordination, and Path Planning systems meeting performance, scalability, and reliability requirements
  4. Partner with cross-functional teams to translate business requirements into research problems and assess technical risks
  5. Influence technical direction across the broader robotics organization through design reviews and technical discussions with senior engineers and scientists

Skills

Required

  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 5+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with conducting research in a corporate setting
  • 3+ years of industry or academic research experience
  • 3+ years of building machine learning models or developing algorithms for business application experience

Nice to have

  • Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS
  • Strong foundation in motion planning algorithms (A*, RRT, optimization-based planning) and multi-agent coordination
  • PhD and 6 years of applied research experience

What the JD emphasized

  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 5+ years of applied research experience
  • Experience with conducting research in a corporate setting
  • 3+ years of industry or academic research experience
  • 3+ years of building machine learning models or developing algorithms for business application experience
  • Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS
  • Strong foundation in motion planning algorithms (A*, RRT, optimization-based planning) and multi-agent coordination

Other signals

  • lead research initiatives
  • translate breakthroughs into production solutions at global scale
  • own end-to-end delivery of complex algorithmic solutions
  • publish findings at top-tier AI and robotics conferences
  • operate independently on ambiguous, multi-quarter problems requiring novel AI approaches