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

Key job responsibilities

Lead research initiatives advancing AI-driven structured field robotics (path planning, fleet coordination, control systems) and translate breakthroughs into production solutions at global scale
Own end-to-end delivery of complex algorithmic solutions from design through production deployment and operational maintenance
Drive technical decisions for Control, Coordination, and Path Planning systems meeting performance, scalability, and reliability requirements
Partner with cross-functional teams to translate business requirements into research problems and assess technical risks
Influence technical direction across the broader robotics organization through design reviews and technical discussions with senior engineers and scientists
Demonstrate measurable impact through AI-driven algorithmic improvements: fleet efficiency gains, operational cost reduction, system reliability improvements, and enhanced customer experience
Publish findings at top-tier AI and robotics conferences representing organizational technical leadership
Mentor junior Applied Scientists on research methodology and balancing innovation with production constraints
Operate independently on ambiguous, multi-quarter problems requiring novel AI approaches while navigating tradeoffs between research innovation and production constraints

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

About the team

We're the structured field robotics organization powering large-scale mobile robotics operations globally. Our mission is to enable safe, efficient, and reliable robotic operations through intelligent Control, Coordination, and Path Planning systems.

Basic Qualifications

• 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

Preferred Qualifications

• 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

Pay

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

Benefits

Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.