Microagi
Forward Deployed Researcher (Robot Learning)
Salary not disclosedOnsite
- Munich
- Full time
- Yesterday
Newly posted
About the role
MicroAGI is building the data layer for physical AI to enable robots to operate in real-world environments like factories and homes. This role involves training and deploying modern neural robotic policies for customer tasks. It is an early-career position focused on translating research into reliable systems that operate outside the laboratory.
Responsibilities
- 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.
Required skills
- Neural networks
- Robotic policies
- Imitation learning
- Reinforcement learning
- Vision-language-action models
- Python
- PyTorch
- JAX
- Robotics simulation
- Machine learning
- Experimental design
Nice to have
- Manipulation
- Dexterous control
- Teleoperation
- Whole-body policies
- Isaac Sim
- MuJoCo
- ManiSkill
- Diffusion policies
- Transformers
- Multimodal models
Qualifications
- Experience through a thesis, university laboratory, internship, research project, or early professional role
About the Company
MicroAGI is building the data layer for physical AI, focusing on the next decade of AI development in the physical world including factories, hospitals, kitchens, fields, and homes.