Amazon. com Services LLC
Robotics
AppliedScienceManager-Match&Affordances
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“Applied Science Manager - Match & Affordances at Amazon. com Services LLC. Skills: Machine Learning, Robotics, Applied Science Management, Reinforcement Learning. Lead team of applied scientists and engineers. Drive ML innovation”
What You'll Achieve.
Maximize storage utilization; Learn affordances and behaviors; Deliver scalable solutions; Optimize stow strategy; Optimize warehouse capacity; Achieve high-density stowing; Achieve reliable stowing; Improve warehouse capacity; Improve throughput
Industry & Context.
Problem solving; Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
PhD or Master's degree, 4+ years industry or academic research experience, 6+ years applied research experience, 3+ years scientists or ML engineers management experience, Experience building ML models, Experience developing algorithms for business application, Experience with deep learning libraries, Research publications in CV, DL or ML
Nice to Have
Experience hiring and growing top talent, Experience in representation learning, Experience in reinforcement learning in robotics systems, Familiarity with VLAs, Familiarity with VLMs, Familiarity with affordance learning, Familiarity with scene-action understanding
What You'll Do.
Lead team of applied scientists and engineers
Enable maximum storage utilization
Learn affordances and behaviors
Deliver scalable solutions
Optimize stow strategy
Optimize warehouse capacity
Motivate diverse team
Manage people performance
Create technical roadmaps
Guide evaluation of ML algorithms
Guide evaluation of RL algorithms
Guide evaluation of optimization methods
Guide evaluation of geometric reasoning systems
Inform robot action selection
Collaborate with perception teams
Collaborate with motion planning teams
Collaborate with fulfillment teams
Create integrated solutions
Maximize storage density
Maintain operational reliability
Partner with computer vision teams
Drive policy learning
Implement best practices
Manage project timelines
Manage project resources
Manage project deliverables
Keep technical skills current
Contribute to architecture discussions
Contribute to design discussions
Participate in deep-dive troubleshooting
Drive technical post-mortem discussions
Identify root causes of policy regressions
Identify root causes of optimization failures
Identify root causes of KPI degradations
Deliver results for customers
Think big for future applications
Guide research for contact-rich manipulation
Guide research for cluttered manipulation
Guide research for real-world manipulation
Create integrated robotic solutions
Manage project timelines effectively
Manage project resources effectively
Manage project deliverables effectively
How You'll Work.
Team & Collaboration
Cross-functional teams; Perception teams; Motion planning teams; Fulfillment teams; Computer vision teams; Hardware teams; Software teams
Process & Methodology
Project timelines, Project resources, Project deliverables
Full Job Description
Do you want to create intelligent, adaptable robots with global impact? The Vulcan Stow team (https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problem) at Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. We invent and deploy machine learning, optimization algorithms, and geometric reasoning models that empower robots to identify the best available placement opportunities, learn effective stow strategies, and continuously improve capacity utilization. Our mission is to maximize throughput developing intelligent policies that understand physical constraints, reason about geometric action opportunities, and select behaviors that achieve high-density, reliable stowing. We hire and develop ML experts in reinforcement learning, combinatorial optimization, predictive modeling, and decision systems. Our solutions learn from millions of stowing decisions to continuously improve warehouse capacity and throughput. We are seeking an experienced Applied Science Manager for Match and Affordances team to lead a team of talented applied scientists and engineers. You will drive ML innovation using the latest advancements in transformer-based architectures to enable maximum storage utilization, learn affordances and behaviors in high-density environments with the reliability and scale that delights our customers. Collaborating with cross-functional teams across perception, motion planning, and fulfillment operations, you will deliver scalable solutions that optimize stow strategy and warehouse capacity across geographies and conditions. Key job responsibilities People Leadership: Prioritize being a great people manager - motivating, rewarding, and coaching your diverse team is the most important part of this role. Recruit and retain top talent in machine learning, optimization, and decision systems. Excel in day-to-day people and performanc
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