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# (Senior) Machine Learning Engineer, Robot Learning

- **Company:** Batch Robotics Gmbh
- **Location:** München, Germany
- **Experience:** Expert
- **Salary:** €70,000.0 - €120,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Robotic Automation Software, Software Engineering, Systems Integration, Reinforcement Learning, Information Technology, Machine Learning Operations, Data Pipelines, Data Generation
- **Published:** September 3, 2026
- **Apply:** https://www.careerjet.de/jobad/def114307cb7d142a256ac79ad61484f5d

## About the Role

* 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.Soft Skills: Entrepreneurial drive, solution-oriented mindset, high agency and the ability to take direct responsibility in a fast-paced startup environment.

## Description

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 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.
 * 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.


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