LeData is hiring a Robotics Engineer/Researcher for a stealth project focused on advancing large-scale, multimodal data collection, curation, and model training. You will develop systems that enable robots to generalize across tasks, environments, and sensor modalities.

What You'll Do

Design and implement pipelines for large-scale robotics data collection and annotation, including video, egocentric, 3D, and simulation data.
Develop and evaluate generalist models for perception, control, and world modeling using collected data.
Automate dataset ingestion, cleaning, and integration from heterogeneous sources like simulation, real-world sensors, and public datasets.
Collaborate on benchmarking, dataset standardization, and metadata schema design for robotics datasets.
Integrate multimodal data such as RGB, depth, IMU, and tactile information 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.

What We're Looking For

Strong background in computer vision, machine learning, or embodied AI.
Experience with model training, including transformers, diffusion, or imitation and reinforcement learning models.
Proficiency in Python and familiarity with PyTorch, TensorFlow, or JAX.
Experience working with large datasets, such as those for manipulation, simulation, or egocentric tasks.
Understanding of ROS, Gazebo, Isaac Sim, or similar robotics ecosystems.
Strong collaborative and documentation skills.