Senior Machine Learning Engineer, Robot Learning

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 develop 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. Multimodal Intuition: Experience combining signals such as vision, pose, force/tactile, or proprioception for agentic AI systems.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 remain 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 more English Speaking Jobs in Germany on Arbeitnow