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 • Robust 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.

📌 Senior Machine Learning Engineer at Cyberwave (Middlesex County)
🏢 cyberwave digital agency
📍 Middlesex County