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ANANYbotics

Senior Reinforcement Learning Engineer(m/w/x)

Zürich
Full-timeWith Home OfficeSenior
AI/ML

Designing, training, and deploying reinforcement learning policies for legged robots in industrial plants. PhD or equivalent track record in RL and ML model deployment required. Attractive employee stock ownership plan.

Requirements

  • PhD in robotics, machine learning, computer science, or related field with RL focus, or equivalent research/deployment track record
  • Master's degree in robotics, machine learning, computer science, or related field from top-tier university
  • Proven track record shipping and maintaining ML models
  • Solid grounding in robot control fundamentals and autonomous systems
  • Experience using robotic simulation tools (Gazebo, Isaac Sim)
  • Strong understanding of sim-to-real transfer, domain randomization, reward shaping, policy robustness
  • Proficiency in Python and PyTorch; working knowledge of C++
  • Strong knowledge of Linux systems and middleware frameworks
  • Pragmatic and solution-oriented mindset
  • Excellent communication skills in English
  • Experience training and deploying RL policies on physical robots
  • Development of scalable and modular robot architectures
  • Experience with navigation systems and autonomous mobile robot operation
  • Interest in agentic engineering toolchains
  • Experience leading software architecture design and best practices
  • Solid grasp of physical systems (multibody dynamics, electromechanical drive physics, energy optimization, contact physics)

Tasks

  • Lead design, training, and deployment of reinforcement learning policies
  • Bridge simulation to real-world robot performance
  • Provide senior technical guidance on RL and learning-based control
  • Mentor engineers and establish best practices for policy development
  • Own and evolve RL training infrastructure and sim-to-real pipeline
  • Ensure reproducibility, scalability, and fast iteration cycles
  • Shape technical vision for internal ML tooling and experiment management
  • Drive efficiency and rigor in learning workflows
  • Collaborate with cross-functional stakeholders to expand robot autonomy
  • Triage field issues related to locomotion
  • Identify and improve policy robustness based on deployment data
  • Write, deploy, and maintain efficient Python and C++ software

Work Experience

  • 5 years

Education

  • Master's degree

Languages

  • englishNative

Tools & Technologies

  • Python
  • PyTorch
  • C++
  • Linux
  • Gazebo
  • Isaac Sim

Benefits

Competitive Pay

  • Attractive employee stock ownership plan
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