Robotics Research

Vor 2 Tagen

Munich, Bayern, Deutschland Moyyn Group Vollzeit 80.000 € - 120.000 € pro Jahr

About the Role

For a stealth robotics research startup, we are seeking a Robotics Researcher with a strong foundation in data-driven generalist models to advance our efforts in large-scale, multimodal data collection, curation, and model training for robotics. You will contribute to the development of systems that enable robots to generalize across tasks, environments, and sensor modalities.

Responsibilities

  • Design and implement pipelines for large-scale robotics data collection and annotation (video, egocentric, 3D, simulation).
  • Develop and evaluate generalist models for perception, control, and world modeling using collected data.
  • Automate dataset ingestion, cleaning, and integration from heterogeneous sources (simulation, real-world sensors, public datasets).
  • Collaborate on benchmarking, dataset standardization, and metadata schema design for robotics datasets.
  • Integrate multimodal data (RGB, depth, IMU, tactile) into unified model training workflows.
  • Prototype and train models across manipulation, mobility, and navigation domains using state-of-the-art frameworks.
  • Contribute to open-source toolkits, evaluation benchmarks, and internal research reports.

Requirements

  • Strong background in computer vision, machine learning, or embodied AI.
  • Experience with model training (transformers, diffusion, or imitation/RL models).
  • Proficiency in Python and familiarity with PyTorch, TensorFlow, or JAX.
  • Experience working with large datasets (e.g., manipulation, simulation, egocentric).
  • Understanding of ROS, Gazebo, Isaac Sim, or similar robotics ecosystems.
  • Strong collaborative and documentation skills.

Preferred Qualifications

  • Prior work with foundation or generalist models (e.g., RT-X, Gato, Octo).
  • Experience contributing to open robotics or dataset projects (Ego4D, ManiSkill, CALVIN).
  • Familiarity with synthetic data generation, 3D scene reconstruction, or world modeling.
  • Understanding of robotics benchmarking protocols and FAIR dataset principles.

Job Type: Full-time

Work Location: Remote

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