Amazon
Applied Science Manager, Fleet Autonomy, Amazon Robotics
$184K–$249K
N.Reading, MA +1 · Manager · Full-time · Posted Sep 10, 2026
- Location
- N.Reading, MA
N.reading, MA - Experience
- 5+ years of industry or academic research experience; 2+ years of scientists or machine learning engineers management experience.
- Education
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
About the job
Leads applied science research and a team developing and deploying algorithms for coordinating, routing, assigning tasks to, and orchestrating Amazon’s autonomous robot fleet.
What you'll do
- Set the technical vision and research agenda, balancing production needs with long-term research.
- Build, hire, and develop applied scientists; provide scientific mentorship.
- Drive algorithms from research through production deployment and represent the team through publications and academic collaborations.
What they ask for
- PhD in a stated quantitative field or equivalent quantitative field.
- 5+ years of industry or academic research experience.
- 2+ years of scientists or machine learning engineers management experience.
- Programming experience in Java, C++, Python or a related language; experience building machine learning models or algorithms for business application; strong understanding of autonomous mobile robot navigation; and experience deploying robotic systems into the field.
Nice to have
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, delivered to customers.
- Experience with mobile robot fleets in industrial or logistics settings, or developing computationally efficient decision making algorithms for live production systems.
Pay
183,800.00 - 248,700.00 USD annually (base salary)
Tools
Java, C++, Python, deep learning, machine learning, computer vision
AI focus
Develops machine learning models and algorithms for multi-robot coordination, fleet traffic, task assignment, and fleet orchestration.
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