Senior Software Engineer – MLOps

Responsibilities

• 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.

Requirements

• 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.

Nice to have

• 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.