Senior Machine Learning Engineer, Robot Learning (mfd)

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!

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: Masters 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 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 companys 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!