Amazon RIVR 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, Amazon RIVR is building the next generation of safe, reliable autonomous robots for last-mile delivery
What you’ll be doing
Design and implement training pipelines for reinforcement learning policies.
Work with AI and robotics engineers to streamline the model development lifecycle, including versioning and reproducibility.
Implement ML monitoring and validation to ensure model performance in production.
Support the automated deployment of AI models onto our robotic
Create documentation and guidelines for best practices in MLOps.
Stay up to date with the latest trends in MLOps and continuously improve our systems.
What you must have
Bachelor’s or higher degree in Computer Science, Engineering, or a related field.
3+ years of experience in MLOps or a related field.
Good knowledge of PyTorch.
Experience with version control & CI/CD (Git, Github Actions, or similar)
Familiarity with containerization (Docker, Kubernetes, etc.) for ML workloads.
Experience with data and model versioning tools (e.g., DVC).
Familiarity with the basic concepts of reinforcement learning.
Get some bonus points
Master’s degree or higher.
Familiarity with robotics platforms or ROS2.
Experience with NVIDIA simulation tools (Isaac Sim, Isaac Lab).
Experience applying machine learning infrastructure tooling (e.g. Ray, Hydra).
Experience in a production environment with real-world hardware.
Amazon RIVR is committed to building a diverse and inclusive team that values every perspective. If you’re passionate about driving innovation in robotics and creating meaningful impact, we encourage you to apply and bring your unique self to our team.
We believe the best work is done when collaborating and therefore require in-person presence in our office locations.
