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FLFlexion Robotics

Applied RL Engineer(m/w/x)

Zürich
Full-timeOn-siteExperienced
AI/ML

Deploying and fine-tuning reinforcement learning policies for humanoid robots. Deep learning and robotics experience required. Production-ready Python/C++ skills.

Requirements

  • MS in Computer Science, Robotics, Electrical Engineering or equivalent
  • Strong understanding of deep learning fundamentals, particularly reinforcement learning
  • Proficiency with Deep Learning frameworks (PyTorch) and physics simulators (Isaac Sim, MuJoCo)
  • Hands-on experience in robotics; prior work with humanoids or legged robots is a strong bonus
  • Strong proficiency in Python and C++, production-ready code
  • Experience with experiment versioning tools (Weights & Biases), deployment infrastructure (Docker, Linux, Git)
  • Exceptional communication skills, explaining AI behaviors to non-technical stakeholders
  • Familiarity with ROS2 and/or DDS is a plus
  • Strong interest and willingness to work directly with customers and partners

Tasks

  • Collaborate with customers for seamless policy deployment
  • Serve as technical bridge between R&D and customer operations
  • Retrain and fine-tune RL policies for customer robots
  • Deploy and evaluate trained policies on robot hardware
  • Ensure safety and performance benchmarks are met
  • Manage end-to-end RL model lifecycle for key accounts
  • Monitor RL model performance
  • Manage data loops for RL models
  • Ensure consistent behavior across robot fleets
  • Provide high-touch technical support during integration
  • Troubleshoot neural network and hardware interactions

Work Experience

  • approx. 1 - 4 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Deep Learning
  • reinforcement learning
  • PyTorch
  • Isaac Sim
  • MuJoCo
  • Python
  • C++
  • Weights & Biases
  • Docker
  • Linux
  • Git
  • ROS2
  • DDS
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