Skip to content
mimi

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

Batch Robotics

Hybrid Full-time Senior 3w ago

About the role

About

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!

Responsibilities

  • End-to-End ML Systems: Design, implement, and train state-of-the-art AI models for perception and control of robot arms in real-world robotic systems.
  • Data Pipelines & ML Ops: Collect real-world data from factory deployments to optimize model training and update models on systems in the field (e.g. for demonstration-based learning)
  • Simulation & Synthetic Data: Lead the development of simulation-based tooling (e.g., NVIDIA Newn Physics Engine) for reinforcement learning 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.

Your Profile

  • Background: Master's Degree and more than 3 years of professional experience or a finished PhD in Robotics, Computer Science, or a related field
  • Deep experience: in 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.
  • Multimodal Intuition: Experience combining signals such as vision, pose, force/tactile, or proprioception for agentic AI systems.
  • Soft Skills: Entrepreneurial drive, solution-oriented mindset, and the ability to take direct responsibility in a fast-paced startup environment.

What We Offer

  • Impact: The unique opportunity to rethink industrial automation for batch size 1 with cutting-edge AI to remain sovereign European manufacturing.
  • 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.

Join us in shaping the future of industrial robotics! Send your CV (no cover letter required) – We look forward to meeting you!

Skills

AIDiffusion modelsImitation learningMachine LearningMultimodal AINVIDIA Newn Physics EnginePythonReinforcement LearningRoboticsRustTransformer modelsVideo models

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free