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

Batch Robotics; München; Hybrid; Vertraulich; Vollzeit

Benefits dieser Stelle

Impact

Growth

Ownership

Environment

Zusammenfassung

Batch Robotics in Munich is seeking a Senior Machine Learning Engineer to shape the next generation of AI-driven robotic systems. You will design, implement, and deploy ML solutions for perception and control of robot arms, and collaborate across data pipelines, simulations, and real-world hardware.

We value hands-on RL and imitation learning in physics simulations, strong Python (Rust a plus), and a track record deploying models on physical manipulators in a fast-growing startup.

Qualifikationen

• Master's Degree and 3+ years of professional experience, or nearing PhD.
• Hands-on RL and imitation learning in physics simulations.
• Strong Python; Rust preferred; modular, high-performance code.
• Experience deploying models on physical robotic manipulators.

Aufgaben

• End-to-End ML Systems: Design, implement, and train models for perception and control of robot arms.
• Data Pipelines & ML Ops: Collect real-world data from factory deployments to optimize training.
• Simulation & Synthetic Data: Improve simulation tooling for scalable synthetic data generation.
• Model Development: Build ML components across perception and policy pathways.
• Systems Integration: Ensure models run reliably on real-time hardware.
• Evaluation & Iteration: Test, analyze failures, and refine for stability and latency.

Kenntnisse

Reinforcement learning

Imitation learning

Python

Rust

Distributed workloads

Ausbildung

Master's degree or PhD in Robotics/CS

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 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.

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.

Benefits

• 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?

We look forward to meeting you!