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(Senior) Machine Learning Engineer, Robot Learning (m/f/d)

Veröffentlicht am 19. Okt. 2026

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Batch Robotics GmbH

Munich

EnglischSeniorPraktikumDeutsch nicht nötig

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Gehalt (Schätzung)

Vollzeit-Referenzwert: etwa 87.000 €/Jahr

Über diese Stelle

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 8 motivated people with 50 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 at least 3 years of full-time industry experience (or a PhD finishing within 4 months), 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.

Background (must-have): Either (a) a Master's degree in Robotics, Computer Science or a related field plus at least 3 years of full-time professional experience after graduation – internships, working-student jobs and thesis projects do not count towards these 3 years – or (b) a PhD in one of these fields that is completed or will be completed within the next 4 months .
Availability (must-have): You can start full-time in Munich (hybrid) within a maximum of 4 months.
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.

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.

Please note: We can only consider applications that meet the must-have criteria above – i.e. at least 3 years of full-time professional experience after your Master's (internships and working-student positions excluded) or a PhD completed within the next 4 months, and availability to start within 4 months. Please state your earliest start date (and, if applicable, your expected PhD completion date) in your application.

(Senior) Machine Learning Engineer, Robot Learning (m/f/d)

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