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.

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