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.
, 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.
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.