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

Batch Robotics GmbH; München; Vor Ort; Vertraulich; Vollzeit

Benefits dieser Stelle

Impact on robotics domain

Growth opportunities in startup

Ownership potential

Modern Munich workspace

Zusammenfassung

Batch Robotics GmbH is building AI-driven robotic systems for smart perception and control in factory settings. The Senior Machine Learning Engineer role focuses on end-to-end ML systems, data pipelines, and simulation-driven development to enable batch-size-1 automation for surface treatment.

You will work on real-world datasets from factory deployments, improve diffusion/transformer architectures, and ensure robust performance under real-time constraints on physical hardware in Munich.

Qualifikationen

• Master's degree or PhD in Robotics, CS, or related field; 3+ years experience.
• Hands-on reinforcement learning and imitation learning in physics simulations.
• Strong Python and ideally Rust; write clean, modular, high-performance code for distributed workloads.
• Proven ability to deploy models on physical robotic manipulators and handle noisy, real-world data.

Aufgaben

• Design, implement, and train state-of-the-art ML models for robot perception and control.
• Build data pipelines and ML Ops to collect real-world factory data.
• Develop simulation tooling and synthetic data generation for scalable AI.
• Create ML components across perception and policy paths (video, multimodal encoders, world models).
• Integrate systems with real-world multimodal datasets and ensure real-time operation.
• Test, analyze failures, and improve stability and latency.

Kenntnisse

RL & imitation learning

Python

Rust

Distributed AI workloads

Real‑world deployment

Ausbildung

Master's degree or PhD

Tools

Python tooling

Physics simulations

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!