About this job
<p><a href="http://www.batch-robotics.com/">Batch Robotics</a> 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>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>
<h2>Tasks</h2>
<p><strong>End-to-End ML Systems:</strong> Design, implement, and train state-of-the-art AI models for perception and control of robot arms.</p>
<p><strong>Data Pipelines & ML Ops:</strong> Collect real-world data from factory deployments to optimize model training and update models in the field</p>
<p><strong>Simulation & Synthetic Data:</strong> Work and develop simulation-based tooling (e.g., NVIDIA Newton Physics Engine) for physical AI and scalable synthetic data generation.</p>
<p><strong>Model Development:</strong> Build ML components across perception and policy pathways, including video models, multimodal encoders, world models, and diffusion/transformer architectures.</p>
<p><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.</p>
<p><strong>Evaluation & Iteration:</strong> Test models in realistic environments, analyze failures, and refine for stability, latency, and robustness.</p>
<h2>Requirements</h2>
<p><strong>Background:</strong> Master's Degree and more than 3 years of professional experience or a (almost) finished PhD in Robotics, Computer Science, or a related field</p>
<p><strong>Deep experience:</strong> Hands - on work with reinforcement learning (RL) and imitation learning within physics simulations.</p>
<p><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.</p>
<p><strong>Real-World Mindset:</strong> Proven track record of deploying models on physical robotic manipulators and handling noisy, temporal, or large-scale datasets.</p>
<p><strong>Multimodal Intuition:</strong> 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.</p>
<h2>Benefits</h2>
<p><strong>Impact</strong> The unique opportunity to rethink industrial automation for batch size 1 with cutting-edge AI to remain European manufacturing sovereignty.</p>
<p><strong>Growth</strong> Challenging tasks and impactful projects alongside experts in a high-growth VC-funded startup.</p>
<p><strong>Ownership</strong> opportunity to actively shape the company's technical direction; potential shares in the company.</p>
<p><strong>Environment</strong> A modern, central workspace in Munich with a collaborative, international culture.</p>
<p>Want to shape the future of industrial robotics?</p>
<p>We look forward to meeting you!</p>
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