Software Dev Engineer - AI/ML, Fleet Mobility AI, Amazon Robotics

Do you want to join a rapidly growing organization to push the boundaries of AI and ML for the world's largest fleet of mobile robots? The Infrastructure and Operations team within the Fleet Mobility AI program is seeking a passionate Software Development Engineer in AI/ML to operationalize state-of-the-art Foundation Models and power the future of Amazon's fleet of over 750,000 mobile robots.

At Amazon Robotics, we apply cutting edge advancements in robotics, software development, Big Data, ML and AI to solve real-world challenges that will transform our customers' experiences in ways we can't even imagine yet. We operate hundreds of buildings that employ hundreds of thousands of robots teaming up to perform sophisticated, large-scale missions.

Key job responsibilities:

• Develop and maintain key platforms for developing, evaluating, and deploying Foundation Models / ML Models for mobile robot fleet applications.
• Investigate design approaches, prototype new technology, and evaluate technical feasibility.
• Develop self-service tools to build applications on top of Foundation Models.
• Process massive data and scale machine learning models while optimizing.
• Design and code solutions for broadly defined problems.
• Provide tooling and infrastructure to expedite cutting-edge research for Foundation Models and AI Application Models.
• Mentor other engineers and help grow the team.

As a Software Development Engineer in AI/ML, you will work with Data Engineers, Data Scientists, and Applied Scientists to design and build end-to-end infrastructure to operationalize Foundation Models. You'll build systems to rapidly iterate on data processing, training, and evaluation of ML models with vast amounts of mobile robot data. You'll collaborate across teams to guide the integration of AI-powered Applications from research to production.

You will be joining a rapidly growing engineering team within the Amazon Robotics Research, Applied and Data Science organization. Our team is responsible for providing data management, self-service tooling, and MLOps infrastructure to accelerate the development and deployment of Mobile Robot Foundation Models.