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

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 Benefits Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) 401(k) Plan Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D) and additional benefits such as EAP, Mental Health Support, Flexible Spending Accounts, and more 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Base salary range: $167,100.00 – $226,100.00 USD annually (North Reading, MA and Westboro, MA). Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation is determined based on experience, qualifications, and location. Learn more about our benefits at https://amazon.jobs/en/benefits. #J-18808-Ljbffr