(Senior) Machine Learning Engineer, Robot Learning (m/f/d)
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About this role
Batch Robotics 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!
Tasks
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.
Requirements
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.
Benefits
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!
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