Applied Science Manager

About the role

This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.

What you'll do

• Build and lead a team that develops and improves machine learning systems that help robots perceive, reason, and act in real-world environments
• Set the technical direction for leveraging state-of-the-art models (open source and internal research), evaluating them on representative tasks, and adapting/optimizing them to meet robustness, safety, and performance needs
• Drive the capability roadmap and the evaluation strategy that defines "what the robot brain can do"
• Sponsor targeted innovation when gaps remain
• Collaborate closely with research, controls, hardware, and product teams
• Ensure the team's outputs can be further customized and deployed by downstream teams on specific robot embodiments

Pioneering foundation models

We are pioneering the development of robotics foundation models that:

• Enable unprecedented generalization across diverse tasks
• Enable unprecedented robustness and reliability, industry-ready
• Integrate multi-modal learning capabilities (visual, tactile, linguistic)
• Accelerate skill acquisition through demonstration learning
• Enhance robotic perception and environmental understanding
• Streamline development processes through reusable capabilities

Basic qualifications

• 3+ years of scientists or machine learning engineers management experience
• Knowledge of ML, NLP, Information Retrieval and Analytics

Preferred qualifications

• Experience building machine learning models or developing algorithms for business application
• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Pay & benefits

Base salary range: $183,800 - $248,700 USD annually (location: USA, MA, North Reading). Total compensation package includes sign-on payments and restricted stock units (RSUs), with final compensation determined based on factors including experience, qualifications, and location.

Comprehensive benefits include 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.

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