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ANANYbotics

Senior Reinforcement Learning Engineer(m/w/x)

Zürich
Vollzeitmit HomeofficeSenior
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.

Anforderungen

  • 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)

Aufgaben

  • 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

Berufserfahrung

  • 5 Jahre

Ausbildung

  • Master-Abschluss

Sprachen

  • englishfließend

Tools & Technologien

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

Benefits

Attraktive Vergütung

  • Attractive employee stock ownership plan
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens ANYbotics erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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