Senior Applied Scientist: AI-Driven Robot Fleet Planning

Amazon; North Reading (MA); On-site; USD 167,100 - 226,100; Full time

Benefits offered by this job

Sign-on bonus

Restricted stock units (RSUs)

401(k) matching

Paid time off

Parental leave

Medical/Dental/Vision coverage

Job summary

Amazon Robotics is seeking a Senior Applied Scientist to advance AI-driven structured field robotics, including path planning, fleet coordination, and control systems. You will own end-to-end delivery of algorithmic solutions from design through deployment and maintenance.

The role requires PhD or Master’s with significant applied research, strong programming in Java/C++/Python, and 3+ years of research experience. Location-based on-site leadership in MA is expected.

Qualifications

• PhD or Master’s with substantial applied research experience.
• Proficiency in Java, C++, Python.
• 3+ years of industry or academic research experience.

Responsibilities

• Lead AI-driven structured field robotics research from design to production deployment.
• Own end-to-end delivery of complex algorithmic solutions.
• Drive decisions for control, coordination, and path planning for performance and scalability.
• Collaborate with cross-functional teams to translate business needs into research problems.
• Present findings at top AI and robotics conferences and mentor junior scientists.
• Operate on ambiguous, multi-quarter problems balancing research with production constraints.

Skills

Java

C++

Python

Research experience

Team collaboration

Education

PhD in engineering/CS/ML/robotics

Master’s with 5+ years of applied research

Job description

Amazon Robotics is seeking a Senior Applied Scientist to advance AI-driven structured field robotics, including path planning, fleet coordination, and control systems. You will own end-to-end delivery of algorithmic solutions from design through deployment and maintenance.

The role requires PhD or Master’s with significant applied research, strong programming in Java/C++/Python, and 3+ years of research experience. Location-based on-site leadership in MA is expected.