Senior) Machine Learning Engineer, Robot Learning (m​/f​/d

the company is revolutionizing how robots operate in factories — not through rigid programming or teaching by human demonstration, but with smart perception and AI intelligence. We are a team of 4 motivated people with +25 years of experience in industry and robotics. Our mission is to make robots smarter and more flexible, enabling batch-size-1 automation for surface treatment economically. Our technology helps factories in Europe to remain competitive with intelligent robotics.

We are now looking for a Senior Machine Learning Engineer with technical excellence and entrepreneurial drive to join us in developing the next generation of AI-driven robotic systems!

• End-to-End ML Systems:
  Design, implement, and train state-of-the-art AI models for perception and control of robot arms.
• Data Pipelines & ML Ops:
  Collect real-world data from factory deployments to optimize model training and update models in the field.
• Simulation & Synthetic Data:
  Work and improve simulation-based tooling (e.g., NVIDIA Newton Physics Engine) for physical AI and scalable synthetic data generation.
• Model Development:
  Build ML components across perception and policy pathways, including video models, multimodal encoders, world models, and diffusion/transformer architectures.
• Systems Integration:
  Work with real-world, multimodal datasets (vision, force/torque, tactile) and ensure models operate reliably under real-time constraints on physical hardware.
• Evaluation & Iteration:
  Test models in realistic environments, analyze failures, and refine for stability, latency, and robustness.

• Background:
  Master's Degree and more than 3 years of professional experience or a (almost) finished PhD in Robotics, Computer Science, or a related field.
• Deep experience:
  Hands-on work with reinforcement learning (RL) and imitation learning within physics simulations.
• Software Engineering:
  Strong proficiency in Python and ideally Rust; ability to write clean, modular, and performance-optimized code for distributed workloads using AI agents.
• Real-World Mindset:
  Proven track record of deploying models on physical robotic manipulators and handling noisy, temporal, or large-scale datasets.
  
  Soft Skills:
  
  Entrepreneurial drive, solution-oriented mindset, high agency and the ability to take direct responsibility in a fast-paced startup environment.

• Impact:
  The unique opportunity to rethink industrial automation for batch-size-1 with cutting-edge AI to maintain European manufacturing sovereignty.
• Growth:
  Challenging tasks and impactful projects alongside experts in a high-growth VC-funded startup.
• Ownership: opportunity to actively shape the company's technical direction; potential shares in the company.
• Environment: A modern, central workspace in Munich with a collaborative, international culture.

Want to shape the future of industrial robotics?

We look forward to meeting you!

Find Jobs in Germany on Arbeitnow