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

Amazon

Reading, Northern (MA, KY)

Hybrid

USD 167,000 - 226,000

Full time

3 days ago

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Benefits offered by this job

Medical, dental, vision coverage

401(k) Plan

Paid Time Off

Job summary

Amazon Robotics is seeking a Sr. Applied Scientist to advance AI-driven structured field robotics, leading path planning, fleet coordination, and control systems at scale.

You will own end-to-end algorithm delivery from design to production deployment and maintenance, shaping decisions across Control, Coordination, and Path Planning while partnering with cross-functional teams. The role emphasizes publishing at top AI conferences, mentoring junior scientists, and delivering measurable impact

Qualifications

PhD in engineering, technology, computer science, ML, robotics, OR, 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 ML models or developing algorithms for business application
Have publications on top-tier conferences (CVPR, ICCV, ECCV, NeurIPS)
Strong foundation in motion planning algorithms (A*, RRT, optimization-based) and multi-agent coordination
PhD and 6 years of applied research experience

Responsibilities

Lead research initiatives advancing AI-driven structured field robotics and translate breakthroughs into production solutions at global scale
Own end-to-end delivery of complex algorithmic solutions from design through production deployment and maintenance
Drive technical decisions for Control, Coordination, and Path Planning systems for performance and reliability
Partner with cross-functional teams to translate business requirements into research problems and assess risks
Influence technical direction through design reviews and discussions with senior engineers
Demonstrate measurable impact through AI-driven algorithmic improvements and fleet efficiency gains
Publish findings at top AI and robotics conferences representing technical leadership
Mentor junior Applied Scientists on research methodology and production constraints balance
Operate independently on ambiguous, multi-quarter problems requiring novel AI approaches

Skills

Research experience

Academic/Industry collaboration

Production mindset

Education

PhD in engineering/related field

Master's degree with 5+ years applied research

Tools

Java

C++

Python

Job description

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

Job ID: 3198491 | Amazon.com Services LLC

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.

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.

The benefits that generally apply to regular, full-time employees include

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale,

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.

We operate at the intersection of planning, algorithmic, and ML research with production systems, owning the full stack from innovation to deployment.

Our culture balances research excellence with operational ownership. Applied Scientists partner closely with engineers: reviewing code, contributing to research discussions, and solving problems together. We value deep technical expertise alongside pragmatic engineering judgment. We invest in our people through mentorship and encourage conference participation and knowledge sharing.

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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. Amazon also 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 .

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