The Role
The role involves designing training pipelines for reinforcement learning, collaborating on model development, implementing ML monitoring, and documenting MLOps practices.
Summary Generated by Built In
RIVR is a Swiss robotics company pioneering Physical AI and robotic solutions to revolutionize last-mile delivery, giving 1 human the power of 1000. Through the combination of artificial neural networks and innovative robot designs with wheels and legs, RIVR aims to enhance efficiency, sustainability, and scalability in last-mile delivery. Founded as Swiss-Mile, the company rebranded to RIVR in 2025 to better reflect its mission of driving the future of intelligent robotics.
Job Description
We are seeking a mid-level MLOps Engineer to join our team. This role focuses on the lifecycle of reinforcement learning policies, from development and training to deployment on our robotic hardware. You will collaborate closely with AI and robotics engineers to design and implement robust training pipelines, ensuring that our AI models are efficiently and reliably deployed at scale.
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.
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.
Top Skills
Docker
Dvc
Git
Github Actions
Kubernetes
PyTorch
Reinforcement Learning
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The Company
What We Do
Reality in Virtual Reality Limited is a developer of Virtual Reality assets in both 360 video and photo realistic virtual reality experiences.
Offering immersive training for all industries. We scan any real-world environment and use our RiVR VR Simulation Engine and our VRM (Virtual Reality Monitor) to enable cutting edge training anywhere in the world.
With our simulation engine we can capture any location and recreate it in photorealistic virtual reality. RiVR allows users to interact with and experience these worlds, enhancing the way humans learn.
