<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Senior Machine Learning Engineer, Robot Learning (m/f/d)</strong></p><p>Full-time | Hybrid | Munich | with 3+ years of professional experience</p><p><br/></p><p>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.</p><p><br/></p><p>We are now looking for a <strong>Senior Machine Learning Engineer</strong> with technical excellence and entrepreneurial drive to join us in developing the next generation of AI-driven robotic systems!</p><p><br/></p><p><strong>Your Responsibilities</strong></p><ul><li><strong>End-to-End ML Systems:</strong> Design, implement, and train state-of-the-art AI models for perception and control of robot arms in real-world robotic systems.</li><li><strong>Data Pipelines &amp; ML Ops: </strong>Collect real-world data from factory deployments to optimize model training and update models on systems in the field (e.g. for demonstration-based learning)</li><li><strong>Simulation &amp; Synthetic Data:</strong> Lead the development of simulation-based tooling (e.g., NVIDIA Newn Physics Engine) for reinforcement learning and scalable synthetic data generation.</li><li><strong>Model Development: </strong>Build ML components across perception and policy pathways, including video models, multimodal encoders, world models, and diffusion/transformer architectures. </li><li><strong>Systems Integration:</strong> Work with real-world, multimodal datasets (vision, force/torque, tactile) and ensure models operate reliably under real-time constraints on physical hardware.</li><li><strong>Evaluation &amp; Iteration:</strong> Test models in realistic environments, analyze failures, and refine for stability, latency, and robustness.</li></ul><p><br/></p><p><strong>Your Profile</strong></p><ul><li><strong>Background</strong>: Master's Degree and more than 3 years of professional experience or a finished PhD in Robotics, Computer Science, or a related field</li><li><strong>Deep experience:</strong> in reinforcement learning (RL) and imitation learning within physics simulations.</li><li><strong>Software Engineering:</strong> Strong proficiency in Python and ideally Rust; ability to write clean, modular, and performance-optimized code for distributed workloads using AI agents.</li><li><strong>Real-World Mindset:</strong> Proven track record of deploying models on physical robotic manipulators and handling noisy, temporal, or large-scale datasets.</li><li><strong>Multimodal Intuition:</strong> Experience combining signals such as vision, pose, force/tactile, or proprioception for agentic AI systems.</li><li><strong>Soft Skills: </strong>Entrepreneurial drive, solution-oriented mindset, and the ability to take direct responsibility in a fast-paced startup environment.</li></ul><p><br/></p><p><strong>What We Offer</strong></p><ul><li><strong>Impact: </strong>The unique opportunity to rethink industrial automation for batch size 1 with cutting-edge AI to remain sovereign European manufacturing.</li><li><strong>Growth: </strong>Challenging tasks and impactful projects alongside experts in a high-growth VC-funded startup.</li><li><strong>Ownership: </strong>Opportunity to actively shape the company's technical direction; potential shares in the company.</li><li><strong>Environment:</strong> A modern, central workspace in Munich with a collaborative, international culture.</li></ul><p><br/></p><p><strong>Join us in shaping the future of industrial robotics!</strong></p><p>Send your CV (no cover letter required) – We look forward to meeting you!</p> </div>