Applied Scientist: Fleet Scheduling & Optimization

Amazon; Reading (MA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Job summary

Amazon Robotics in North Reading, MA is seeking an Applied Scientist to research and develop state-of-the-art scheduling and optimization for a fleet of autonomous mobile robots. You will design, implement, and benchmark algorithms and contribute to production systems.

You will collaborate with scientists and engineers, mentor teammates, and drive solutions from concept to deployment in a fast-paced environment.

Qualifications

• PhD or Master’s in a quantitative field required.
• Experience in optimization or scheduling for fleets of robots.
• Experience building ML models and scalable algorithms.

Responsibilities

• Architect and implement robotic applications and infrastructure.
• Influence strategy and contribute to long-term roadmap.
• Collaborate across the organization to iterate on design.
• Develop fault-tolerant, high-performance software.

Skills

Java

C++

Python

Optimization

Scheduling

Machine learning

Teamwork

Education

PhD in Engineering/Science/CS/Math

Master's degree + 4+ years CS

Job description

Amazon Robotics in North Reading, MA is seeking an Applied Scientist to research and develop state-of-the-art scheduling and optimization for a fleet of autonomous mobile robots. You will design, implement, and benchmark algorithms and contribute to production systems.

You will collaborate with scientists and engineers, mentor teammates, and drive solutions from concept to deployment in a fast-paced environment.