AI Engineer - Reinforcement Learning (Senior)

RIVR, part of Amazon is a robotics company pioneering Physical AI through real-world doorstep delivery.

Founded in 2024 as an ETH Zurich spin-off, RIVR developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain.

We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn from rich operational data at scale.

• Following our acquisition by Amazon in March 2026, we are continuing this mission with greater reach and speed.

By combining custom robot hardware, onboard autonomy, and cloud-based coordination, RIVR, part of Amazon is building the next generation of safe, reliable autonomous robots for last-mile delivery.

Descripción del Puesto

  Reinforcement learning is transforming our robotic intelligence, enabling autonomous behavior without human guidance

We are seeking a Senior AI Engineer with deep expertise in reinforcement learning and deep learning, including supervised and self-supervised learning, to lead our engineering team.

Your role will involve leveraging both simulated and real-world data to address practical challenges.

If you are passionate.

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advancing AI and developing innovative solutions, join us in shaping the future of intelligent robotics.What you’ll be doing Develop cutting-edge reinforcement learning algorithms to enable robots to autonomously execute motor commands based on raw sensor input

Design, test, and refine your algorithms to meet the demands of complex real-world locomotion, autonomy and manipulation tasks.

• Collaborate with the computer vision and imitation learning team to innovate methods that leverage both simulated and real-world data.

Implement deployment-ready code for the real robot, optimized for the robot’s computational constraints.

Build, lead and mentor an exceptional team of software engineers.

Provide expert guidance to product managers and executives for strategi.