(Senior) Machine Learning Engineer, Robot Learning (m/f/d)
Batch Robotics GmbH · Not provided by source
MeritLog read this listing from Batch Robotics GmbH's Arbeitnow job board and last checked it on September 10, 2026.
Source: Arbeitnow. Open the original listing for current details.
Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- Munich
- Occupation
- Computer Systems Engineers/Architects(O*NET 15-1299.08)
What the role asks for
What they're asking for
- 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.Education
- Deep experience: Hands-on work with reinforcement learning (RL) and imitation learning within physics simulations.Skill
- Software Engineering: Strong proficiency in Python and ideally Rust; ability to write clean, modular, and performance-optimized code for distributed workloads using AI agents.SkillPreferred
- 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.Skill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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! Find more English Speaking Jobs in Germany on Arbeitnow
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