Applied Science Manager Match & Affordances, Amazon Robotics
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
Do you want to create intelligent adaptable robots with global impact The Vulcan Stow team ( at Amazon Robotics builds high-performance real-time robotic systems that can perceive learn and act intelligently alongside humansat 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 performance management tasks.
Technical Vision: Set a vision for your team and create technical roadmaps focused on stow policy development placement optimization and density improvements. Guide research design deployment and evaluation of ML and RL algorithms optimization methods and geometric reasoning systems that inform robot action selection.
Cross-functional Collaboration: Work closely with perception motion planning hardware and fulfillment teams to create integrated solutions that maximize storage density while maintaining operational reliability. Partner with computer vision teams on 3D scene understanding and container geometry representation that drives policy learning.
Delivery Excellence: Implement best practices in applied research and software development. Manage project timelines resources and deliverables effectively. Keep technical skills current to contribute meaningfully to architecture and design discussions.
Problem Solving: Regularly participate in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify root causes of policy regressions optimization failures and KPI degradations.
A day in the life
- Prioritize being a great people manager: motivating rewarding and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in people and performance management tasks.
- Set a vision for the team and create the technical roadmap that deliver results for customers while thinking big for future applications.
- Guide the research design deployment and evaluation of complex computer vision and machine learning algorithms for contact-rich cluttered real-world manipulation problems.
- Work closely with motion hardware and software teams to create integrated robotic solutions that are better than the sum of their parts.
- Implement best practices in applied research and software development managing project timelines resources and deliverables effectively.
Amazon offers a full range of benefits for 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:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
Watch this video to learn more about Vulcan program in Amazon Robotics: PhD or Masters degree and 4 years of industry or academic research experience
- 6 years of applied research experience
- 3 years of scientists or machine learning engineers management experience
- Experience building machine learning models or developing algorithms for business application
- Experience with deep learning libraries such as PyTorch TensorFlow MxNet Research publications in computer vision deep learning or machine learning at peer-reviewed workshops conferences or journals
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle including coding standards code reviews source control management build processes testing certification and livesite operations
- Experience hiring and growing top talent
- Experience in representation learning and reinforcement learning in robotics systems.
- Familiarity with the developments in the VLAs VLMs affordance learning and scene-action understanding
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 performance management tasks.
Technical Vision: Set a vision for your team and create technical roadmaps focused on stow policy development placement optimization and density improvements. Guide research design deployment and evaluation of ML and RL algorithms optimization methods and geometric reasoning systems that inform robot action selection.
Cross-functional Collaboration: Work closely with perception motion planning hardware and fulfillment teams to create integrated solutions that maximize storage density while maintaining operational reliability. Partner with computer vision teams on 3D scene understanding and container geometry representation that drives policy learning.
Delivery Excellence: Implement best practices in applied research and software development. Manage project timelines resources and deliverables effectively. Keep technical skills current to contribute meaningfully to architecture and design discussions.
Problem Solving: Regularly participate in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify root causes of policy regressions optimization failures and KPI degradations.
A day in the life
- Prioritize being a great people manager: motivating rewarding and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in people and performance management tasks.
- Set a vision for the team and create the technical roadmap that deliver results for customers while thinking big for future applications.
- Guide the research design deployment and evaluation of complex computer vision and machine learning algorithms for contact-rich cluttered real-world manipulation problems.
- Work closely with motion hardware and software teams to create integrated robotic solutions that are better than the sum of their parts.
- Implement best practices in applied research and software development managing project timelines resources and deliverables effectively.
Amazon offers a full range of benefits for 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:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
Watch this video to learn more about Vulcan program in Amazon Robotics: PhD or Masters degree and 4 years of industry or academic research experience
- 6 years of applied research experience
- 3 years of scientists or machine learning engineers management experience
- Experience building machine learning models or developing algorithms for business application
- Experience with deep learning libraries such as PyTorch TensorFlow MxNet Research publications in computer vision deep learning or machine learning at peer-reviewed workshops conferences or journals
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle including coding standards code reviews source control management build processes testing certification and livesite operations
- Experience hiring and growing top talent
- Experience in representation learning and reinforcement learning in robotics systems.
- Familiarity with the developments in the VLAs VLMs affordance learning and scene-action understanding
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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 183800.00 - 248700.00 USD annually
Required Experience:
Manager
About Company
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