Senior Machine Learning Engineer, Robot Learning

How to use this kit

Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

For Senior Machine Learning Engineer, Robot Learning roles, expect deep questions on ML systems (training loops, evaluation, data quality), robotics learning (imitation, RL, offline RL, sim-to-real), and engineering rigor (Python, ML stacks, experiment design). Be ready to discuss past robot or control projects end-to-end and trade-offs between research quality and deployment constraints at a company like Batch Robotics GmbH.

Fit summary

Strong fit if you already ship ML for robots or related embodied systems and want on-site senior IC work in Munich at Batch Robotics GmbH. Limited public company and market DATA here—weight the posted title and location heavily when deciding.

Day in the role

As a Senior Machine Learning Engineer, Robot Learning at Batch Robotics GmbH in Munich, a typical day centers on robot-learning pipelines: framing learning problems from robot data, training and evaluating models for control or perception, and iterating with hardware and software teammates. Expect code reviews, experiment tracking, debugging sim-to-real gaps, and documenting results for product and research decisions—on-site in Munich rather than remote.

FAQ from this listing

Is this role remote?

No—the listing marks remote as off; expect work tied to Munich.

Where is the job based?

Munich (München), Bavaria, Germany—the state capital and a major tech and industrial hub.

What does the title emphasize?

Senior machine learning for robot learning: model development, evaluation, and production-minded iteration with robotics systems, not a pure research-only title by name alone.

Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

• Analyze problems to develop solutions involving computer hardware and software.
• Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
• Assign or schedule tasks to meet work priorities and goals.
• Meet with managers, vendors, and others to solicit cooperation and resolve problems.
• Design computers and the software that runs them.
• Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.
• Evaluate project plans and proposals to assess feasibility issues.
• Participate in multidisciplinary projects in areas such as virtual reality, human-computer interaction, or robotics.

O*NET source

Role overview (listing rewrite)

Senior Machine Learning Engineer, Robot Learning (m/f/d) Batch Robotics GmbH Munich, Germany Full Time - On-site The Opportunity Join Batch Robotics, a pioneering team of 4 experts with over 25 years of industry and robotics experience. Our mission is to make robots smarter and more flexible, enabling batch-size-1 automation for surface treatment economically. As a Senior Machine Learning Engineer at the forefront of AI-driven robotic systems, you'll design, implement, and train state-of-the-art models for perception and control of robot arms. Your work will directly impact how factories in Europe remain competitive with intelligent robotics. Your Responsibilities Design, implement, and train advanced AI models for perception and control of robot arms. Collect real-world data from factory deployments to optimize model training and update models in the field. Work on simulation-based tooling (e.g., NVIDIA Newton Physics Engine) for physical AI and scalable synthetic data generation. Build ML components across perception and policy pathways, including video models, multimodal encoders, world models, and diffusion/transformer architectures. Integrate real-world, multimodal datasets (vision, force/torque, tactile) to ensure models operate reliably under real-time constraints on physical hardware. Evaluate and refine models in realistic environments for stability, latency, and robustness. What We're Looking For We seek a Senior Machine Learning Engineer with technical excellence and entrepreneurial drive. You should have: A Master's Degree or (almost) finished PhD in Robotics, Computer Science, or a related field. More than 3 years of professional experience in robotics or machine learning. Hands-on experience with state-of-the-art AI models and frameworks such as PyTorch, TensorFlow, and NVIDIA Newton Physics Engine. Experience in data collection, model training, and deployment in real-world environments. About the Company Batch Robotics is revolutionizing how robots operate in factories by leveraging smart perception and AI intelligence. With a small but highly motivated team, we are dedicated to making robots smarter and more flexible. Our technology helps European factories remain competitive with intelligent robotics, driving innovation and efficiency. Apply Today To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.

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Questions to ask them

• What does success look like in the first 90 days for this role?
• How is the team structured, and who would I work with most?
• What tools and systems does this role use daily?
• Is the work primarily based in Munich, hybrid, or fully remote?