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# Forward Deployed Researcher (Robot Learning)

- **Company:** microagi
- **Location:** München, Germany
- **Contract:** Internship / Graduate position
- **Skills:** Training Data, Artificial Intelligence, Computer Vision, Python (Programming Language), Machine Learning, Open Source Technology, Reinforcement Learning, Pytorch, Delivery Pipeline, Isaac Sim
- **Published:** November 12, 2026
- **Apply:** https://www.adzuna.de/details/5961947298

## About the Role

* Experience training modern neural-network-based robotic policies through a thesis, university laboratory, internship, research project, or early professional role.
 * Familiarity with imitation learning, reinforcement learning, vision-language-action models, or related robot-learning methods.
 * Strong Python and hands-on experience with PyTorch, JAX, or an equivalent framework.
 * Experience running experiments on real robots or in a robotics simulator.
 * Good understanding of machine learning fundamentals and experimental design.
 * Evidence of strong technical work, such as a thesis, paper, research project, open-source contribution, or working robotic system.
 * Comfortable moving between research code and physical hardware.
 * Willingness to travel to deployment sites.

Nice to Have

 * Experience with manipulation, dexterous control, teleoperation, or whole-body policies.
 * Familiarity with Isaac Sim, MuJoCo, ManiSkill, or similar environments.
 * Experience with diffusion policies, transformers, multimodal models, or vision-language-action systems.
 * Publications or workshop papers in robotics, computer vision, or machine learning.
 * Experience collecting or curating robot-training data.

Who Will Thrive at microagi

## Description

* Train neural policies for manipulation and other embodied tasks using real and simulated data.
 * Build data, training, evaluation, and deployment pipelines for robotic policies.
 * Run experiments in simulation and transfer successful policies onto real robots.
 * Collect demonstrations and deployment data, diagnose failure modes, and improve policies iteratively.
 * Evaluate models for robustness, generalisation, latency, and real-world task success.
 * Work alongside deployment engineers at customer sites to adapt policies to new environments and workflows.
 * Turn research ideas into systems that operate reliably outside the lab., Everyone we hire is assessed on the same four traits:
 * Mission and vision: you care about what we are building and why it matters, and your past choices show it.
 * Intensity: you work at a pace that matches the size of the opportunity, and you sustain it.
 * Entrepreneurial: you start things nobody asked for, and you finish them.
 * Raw IQ: you learn fast, reason from first principles, and get sharper when the problem changes.

This is for you if:

 * You would rather own a problem end to end than wait for a spec.
 * You use AI every day, and you can tell a correct answer from a plausible one.
 * You want to work in person, in the office, with people who are very good at what they do.

This is not for you if:

 * You are looking for a predictable 9-to-5.
 * You would forward output you cannot explain.
 * "That's not my job" feels like a reasonable answer.