The Role
Design, train, and deploy machine learning systems for robotic perception and control. Build data pipelines, MLOps workflows, simulation tooling, synthetic data generation, and models including video, multimodal, world, diffusion, and transformer architectures. Integrate models with physical robotic manipulators and multimodal sensor data, then evaluate and optimize them for reliability, latency, and robustness in real-world factory environments.
Summary Generated by Built In
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 8 motivated people with 50 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 at least 3 years of full-time industry experience (or a PhD finishing within 4 months), 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 (must-have): Either (a) a Master's degree in Robotics, Computer Science or a related field plus at least 3 years of full-time professional experience after graduation – internships, working-student jobs and thesis projects do not count towards these 3 years – or (b) a PhD in one of these fields that is completed or will be completed within the next 4 months.
* Availability (must-have): You can start full-time in Munich (hybrid) within a maximum of 4 months.
* 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.
Please note: We can only consider applications that meet the must-have criteria above – i.e. at least 3 years of full-time professional experience after your Master's (internships and working-student positions excluded) or a PhD completed within the next 4 months, and availability to start within 4 months. Please state your earliest start date (and, if applicable, your expected PhD completion date) in your application.
Want to shape the future of industrial robotics?
We look forward to meeting you!
We are now looking for a Senior Machine Learning Engineer with at least 3 years of full-time industry experience (or a PhD finishing within 4 months), 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 (must-have): Either (a) a Master's degree in Robotics, Computer Science or a related field plus at least 3 years of full-time professional experience after graduation – internships, working-student jobs and thesis projects do not count towards these 3 years – or (b) a PhD in one of these fields that is completed or will be completed within the next 4 months.
* Availability (must-have): You can start full-time in Munich (hybrid) within a maximum of 4 months.
* 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.
Please note: We can only consider applications that meet the must-have criteria above – i.e. at least 3 years of full-time professional experience after your Master's (internships and working-student positions excluded) or a PhD completed within the next 4 months, and availability to start within 4 months. Please state your earliest start date (and, if applicable, your expected PhD completion date) in your application.
Want to shape the future of industrial robotics?
We look forward to meeting you!
Skills Required
- Master's degree in Robotics, Computer Science, or a related field, plus at least 3 years of full-time professional experience after graduation
- Alternatively, a PhD in Robotics, Computer Science, or a related field completed or scheduled for completion within 4 months
- Ability to start full-time in Munich in a hybrid arrangement within 4 months
- Hands-on experience with reinforcement learning and imitation learning in physics simulations
- Strong proficiency in Python
- Ability to write clean, modular, and performance-optimized code for distributed workloads using AI agents
- Experience deploying models on physical robotic manipulators
- Experience handling noisy, temporal, or large-scale datasets
- Entrepreneurial drive, solution-oriented mindset, high agency, and ability to take responsibility in a startup environment
- Rust proficiency
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The Company
What We Do
Batch Robotics is a Munich-based startup specializing in AI-learning for industrial robots. The company aims to make robots smarter and more flexible, enabling small-batch automation in factories. By leveraging artificial intelligence instead of rigid programming or human demonstration, Batch Robotics revolutionizes how industrial robots operate, increasing efficiency and versatility in manufacturing environments.
