Senior Robotic Learning Engineer (m/f/d) New Munich, Bavaria, Germany

Agile Robots SE; München; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Corporate benefits program

Munich office with rooftop terrace

Zusammenfassung

Agile Robots SE in Munich, Germany, seeks a Senior Robotic Learning Engineer to architect the full data-to-model pipeline, turning robot and human data into deployed foundation models.

You will own data collection, synthetic data generation, and deployment on real hardware, collaborating with researchers and robotics engineers to scale learning for imitation, VLA, and robotics tasks.

Qualifikationen

• Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, ML, or equivalent.
• 5+ years in robotics or related fields with ownership of multi-stage pipelines.
• Hands-on experience with imitation learning, Vision-Language-Action models, or related robotics methods.

Aufgaben

• Architect data-to-model pipelines from data collection to on-robot deployment.
• Integrate post-training and evaluation frameworks for reliable deployment.
• Develop data valuation metrics for quality, diversity, and relevance.
• Build synthetic and sim-to-real data generation pipelines to scale training data.
• Design scalable data collection systems for robot and human data.
• Collaborate with researchers and engineers to translate needs into production data.

Kenntnisse

Robotics experience

Machine Learning

Python

C++

Systems thinking

Ausbildung

Master's or PhD in CS/Robotics/EE/ML

Tools

Isaac Sim

MuJoCo

ML Ops

Jobbeschreibung

Senior Robotic Learning Engineer (m/f/d)

The AI Research and Development Groupof Agile Robotsis looking for aSenior Robotic Learning Engineer (m/f/d), who will architect the full pipeline that turns raw robot and human data into deployed foundation models, from collection through post-training to on-robot deployment.

Your Responsibilities

• System Architecture:Own how collection, generation, augmentation, annotation, valuation, and evaluation fit together as one coherent data-to-model pipeline, and prioritize engineering investment where it most improves model performance.
• Model Evaluation & Deployment:Integrate post-training and evaluation frameworks, in simulation and on real hardware, and own the path to reliable, automatic deployment on robotic platforms.
• Data Valuation & Curation:Develop methods and metrics to assess data quality and value — diversity, coverage, redundancy, task relevance — and use them to guide what gets collected, kept, or discarded.
• Data Generation:Build synthetic and simulation-based data generation pipelines, including real-to-sim-to-real transfer, procedural task and scene generation, and generative models, to scale training data beyond physical collection alone.
• Data Collection:Design scalable systems for collecting both robot-generated data (teleoperation, autonomous rollouts, scripted policies) and human data (egocentric video, demonstrations) to train imitation learning and VLA models.
• Cross-Team Collaboration:Partner with research scientists, robotics engineers, and infrastructure teams to translate model and research needs into production data and evaluation systems.
• Background:Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related field, or an equivalent combination of formal training and professional experience.
• Professional Experience:5+ years in robotics, autonomous driving, machine learning, or data engineering, with demonstrated ownership of systems spanning multiple pipeline stages, not a single component.
• Robot Learning:Hands-on experience with imitation learning, Vision-Language-Action models, robot foundation models, reinforcement learning, or other learning-based approaches to robotics.
• Programming:Software engineering proficiency in Python sufficient to build production-grade, reliable systems rather than research prototypes; familiarity with C++ is a plus.
• Systems-Level Thinking:Ability to reason about how a decision at one pipeline stage — what data is collected — affects outcomes at another, such as model performance or evaluation results, and to design across those boundaries.

Beneficial Skills

• Simulation:Experience with simulation platforms such as Isaac Sim or MuJoCo for synthetic data generation and sim-to-real transfer.
• Data Valuation Techniques:Familiarity with active learning, coreset selection, influence functions, or other methods for quantifying training data value.
• Human Data Collection:Experience with egocentric data collection, AR/VR devices, hand tracking, or teleoperation frameworks for embodied AI.
• Data Systems:Experience designing and operating large-scale data pipelines — collection, storage, processing, labeling — for machine learning training.
• Deployment & MLOps:Experience with model serving, edge or real-time inference, or cloud-based deployment infrastructure.

What we offer

A dynamic high-tech company, combined with financial soundness and world-class investors.

Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.

Lots of development opportunities as we continue to grow.

Challenging tasks and impactful projects alongside experts that enable professional and personal growth.

Corporate Benefits Program covering health, mobility, and learning for 100€ net per month.

Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment

About us

Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 3500 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly.

This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!

We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.