Elevate robotic systems with Cyberwave as a Senior Machine Learning Engineer specializing in vision-language-action and reinforcement learning in Milan or Zurich. Engage in hands-on applied ML to train robust models across real and simulated environments.

In this full time position, you will work closely with robotics, simulation, and product teams, leveraging your 3+ years of experience to develop cutting-edge ML systems. Your expertise in reinforcement learning, behavior cloning, and cross-embodiment transfer will be crucial as you design experiments and policies that generalize across various hardware platforms.

Key Responsibilities:
• Train and evaluate VLA and reinforcement learning models
• Build pipelines for language-conditioned robot control




• Design cross-embodiment transfer experiments
• Improve policy robustness through rigorous validation
• Collaborate with teams for deployment in Cyberwave's stack

Requirements:
• 3+ years in robotics or embodied AI
• Experience with VLA models and reinforcement learning
• Strong Python and PyTorch skills
• Practical experience in simulation environments
• Ability to debug across perception and hardware

Be a pivotal force in developing groundbreaking AI models that drive real robotic actions at Cyberwave.
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📌 Senior Machine Learning Engineer at Cyberwave (Ontario)
🏢 cyberwave digital agency
📍 Ontario