Amazon · 2 days ago
Applied Science Manager, Amazon Industrial Robotics
Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. The Applied Science Manager will lead a team focused on foundation model development, driving innovative applications of deep learning and robotics to solve complex operational challenges.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Build and lead a team of scientists and developers responsible for foundation model development
Define the right ‘FM recipe’ to reach industry ready solutions
Define the right strategy to ensure fast and efficient development, combining state of the art methods, research and engineering
Lead Model Development and Training: Designing and implementing the model architectures, training and fine tuning the foundation models using various datasets, and optimize the model performance through iterative experiments
Lead Data Management: Process and prepare training data, including data governance, provenance tracking, data quality checks and creating reusable data pipelines
Lead Experimentation and Validation: Design and execute experiments to test model capabilities on the simulator and on the embodiment, validate performance across different scenarios, create a baseline and iteratively improve model performance
Lead Code Development: Write clean, maintainable, well commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs
Research: Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions
Collaboration: Work closely with senior scientists, engineers, and leaders across multiple teams, participate in knowledge sharing, support integration efforts with robotics hardware teams, and help document best practices and methodologies
Qualification
Required
Experience leading a science team
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
6+ years of building machine learning models for robotics including LLM, VLM, VLA / LBM and Reinforcement Learning
PhD and 6+ years of applied research experience
Experience in software engineering and business applications
Preferred
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc
Experience with large scale distributed systems such as Hadoop, Spark etc
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Recent News
2026-01-11
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