Research Scientist – Full Body Motion

Mecka AI is building data infrastructure for robotics and embodied AI, including systems for data capture, labeling, and hardware-enabled workflows. The Research Scientist will develop full-body motion models from partial egocentric evidence, enforce physical consistency and contact-aware estimation, define evaluation metrics, and transition prototypes into production systems.

Responsibilities:

• Full-body motion prior. Train generative motion models — diffusion, autoregressive or masked — on mocap-scale data and our own rig data, conditioned on the partial evidence an egocentric rig produces, so they produce the lower body and feet when nothing sees them
• Physical consistency. Physics-based tracking or imitation of the kinematic estimate in simulation, or contact-aware optimisation on the body model, so the output has ground contact, no penetration, no foot skate and plausible balance — including floor work, where the standing assumption fails
• Contact as an output. Per-frame foot and body contact and the ground plane, with calibrated confidence, delivered alongside the pose
• The body model. MHR / SOMA-X native output; pose priors and constraints the production solver can consume
• Measurement, with the audit team. Define the lower-body, feet and contact metrics and the cohort they run on (ego-exo, mocap, IMU suit); commission captures against named gaps
• Hand-off. Prototype → runnable model on the cohort in a repo we own → the pod's production owners integrate. Publish what you learn; we are generous on publication