Applied RL Engineer

About Flexion:

At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich) and backed by leading international VC firms. Within a few months we’ve gone from our first line of code to deploying real humanoid capabilities with our partners.

Learn more about Flexion

You’ll join the AI Engineering team, and work closely with the product and engineering team members. You'll collaborate directly with customers to ensure a seamless deployment of Flexion’s policies, serving as the technical bridge between R&D and the customer’s operational reality.

• Work directly with customers to ensure a seamless deployment of Flexion’s policies
• Retrain and fine‑tune RL policies to function robustly on specific customer robots
• Execute the deployment and rigorous evaluation of trained policies on physical robot hardware, ensuring safety and performance benchmarks are met
• Own the end‑to‑end lifecycle of RL models for key accounts; monitor performance, manage data loops, and ensure consistent behavior across robot fleets
• Provide high‑touch technical support (on‑site or remote) during critical integration phases and deployments, troubleshooting complex interactions between neural networks and hardware

• MS in Computer Science, Robotics, Electrical Engineering or equivalent.
• Strong understanding of deep learning fundamentals, in particular reinforcement learning concepts.
• Proficiency with Deep Learning frameworks (PyTorch) and physics simulators (Isaac Sim, Mu Jo Co ).
• Hands‑on experience in robotics; prior work with humanoids or legged robots is a strong bonus.
• Strong proficiency in Python and C++, with a focus on writing production‑ready code.
• Experience with experiment versioning tools like Weights & Biases, as well as deployment infrastructure, like Docker, Linux environments, Git.
• Exceptional communication skills, with the ability to explain probabilistic AI behaviors to partners and non‑technical stakeholders clearly.
• Familiarity with ROS2 and/or DDS is a plus.
• Strong interest and willingness to work directly with our customers and partners,

• Competitive compensation package
• A front‑row seat at one of Europe’s most ambitious robotics companies
• An energetic, collaborative team with a bias for action