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# Senior Robotic Learning Engineer

- **Company:** Agile Robots Ag
- **Location:** München, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Training Data, C++ (Programming Language), Computer Programming, Information Engineering, Data Systems, Python (Programming Language), Machine Learning, Operational Databases, Software Engineering, Systems Architecture, Reinforcement Learning, Transfer Learning, Model Validation, Isaac Sim, Embodied AI, Real-time Inference, Information Technology, Machine Learning Operations, Data Pipelines, Data Generation
- **Published:** November 14, 2026
- **Apply:** https://www.adzuna.de/details/5963540583

## About the Role

* 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.

## Description

* 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., * 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