Amazon
Sr. Applied Scientist, Amazon Robotics, Structured Field Coordinated Planning & Control
$167K–$226K
WESTBORO, MA +1 · Senior · Full-time · Posted Mar 6, 2026
- Location
- WESTBORO, MA
North Reading, MA - Experience
- 3+ years of industry or academic research experience; 3+ years building machine learning models or developing algorithms for business applications. Alternatively, Master's degree and 5+ years of applied research experience; preferred: PhD and 6 years of applied research experience.
- Education
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field; alternatively, a Master's degree and 5+ years of applied research experience.
About the job
Leads research and production deployment of AI-driven planning, coordination, and control algorithms for large-scale robotic fleets.
What you'll do
- Lead robotics research and deliver algorithmic solutions from design through deployment and operational maintenance.
- Drive technical decisions for control, coordination, and path planning, collaborating across teams and influencing technical direction.
- Measure operational impact, publish research, and mentor junior Applied Scientists.
What they ask for
- PhD in a listed quantitative field or equivalent, or a Master's degree and 5+ years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
- Experience conducting research in a corporate setting.
- 3+ years of industry or academic research experience and 3+ years building machine learning models or developing algorithms for business applications.
Nice to have
- Publications at top-tier conferences such as CVPR, ICCV, ECCV, or NeurIPS.
- Strong foundation in motion planning algorithms and multi-agent coordination; PhD and 6 years of applied research experience.
Pay
167,100.00 - 226,100.00 USD annually (base salary); 167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, A*, RRT, CVPR, ICCV, ECCV
AI focus
Research and apply AI/ML algorithms for robotic path planning, fleet coordination, and control, translating research into production systems.
Model-written summary · the original posting is authoritative