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 settings.
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 - Solid 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.#J-18808-Ljbffr

📌 Senior Machine Learning Engineer At Cyberwave Ailsa Craig (Canada)
🏢 cyberwave digital agency
📍 Canada