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

Batch Robotics; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Batch Robotics in Munich is building AI-driven robotic systems for batch-size-1 automation. We are 8 motivated people with global ambitions, combining perception, control, and intelligent decision making to keep European factories competitive.

We seek a Senior Machine Learning Engineer with hands-on RL and imitation learning in physics simulations, strong Python and Rust, and a mindset to deploy reliable models on real robotic manipulators.

Qualifikationen

• Master's Degree and 3+ years of professional experience or near PhD in Robotics/CS.
• Hands-on RL & imitation learning in physics simulations.
• Strong Python and Rust; scalable, distributed AI code.
• Experience deploying models on physical robots and handling large datasets.

Aufgaben

• Design and train state-of-the-art ML models for perception and control of robot arms.
• Develop data pipelines and MLOps for real-world deployments.
• Improve simulation-based tooling and synthetic data generation.
• Ensure real-time performance on hardware.
• Evaluate, iterate, and improve model robustness.

Kenntnisse

Reinforcement learning

Imitation learning

Python

Rust

Distributed workloads

Robotics

Ausbildung

Master's Degree or PhD

Tools

NVIDIA Newton Physics Engine

Jobbeschreibung

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 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.

Requirements

• 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.
• 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.

Want to shape the future of industrial robotics?