Research Scientist – Body Pose Detection

The role

A Research Scientist will architect and train proprietary foundation models for 3D human body tracking and articulated pose estimation. The role involves building in-house 3D human body and mesh recovery architectures and developing interaction models for complex environments.

What you will do

• Design, implement, and train state-of-the-art networks for 3D human pose estimation, dense full-body mesh recovery, and kinematic tracking.
• Scale multi-view and temporal ML architectures across multi-GPU clusters.
• Develop novel loss functions that enforce biomechanical constraints, temporal smoothness, postural balance, and physical plausibility.
• Build and train custom architectures for handling motion blur, self-occlusion, and multi-person crowding.
• Track human bodies through complex spaces to provide regularization for downstream robotics models.
• Rapidly prototype and deploy new models for action segmentation, intent prediction, and sensor integrations.
• Resolve algorithmic bottlenecks in the data engine.
• Connect tracking models into pipelines that reason about physical contact surfaces, gravity, and momentum.

Required qualifications

• Deep expertise in Deep Learning, 3D Computer Vision, and Articulated Tracking / Human Body Pose Estimation.
• Proven experience training large-scale vision models from scratch.
• Strong theoretical and practical understanding of parametric human body models (e.g., SMPL, SMPL-X, GHUM, MHR, SOMA-X), inverse kinematics, and dense mesh estimation.
• Mastery of PyTorch and deep learning scaling frameworks.
• Experience handling and curating massive, multi-terabyte image and video datasets for training.
• Comfortable operating in a fast-paced environment where priorities can shift rapidly.

Nice to have

• First-author publications in top-tier venues (CVPR, ICCV, ECCV, NeurIPS) focusing on 3D human pose tracking, human-scene interaction (HSI), human motion capture, or human mesh recovery.
• Specific experience working with massive human motion and interaction datasets (e.g., AMASS, Human3.6M, EgoBody, PROX).

About the company

Mecka AI is building the data infrastructure layer for robotics and embodied AI. They design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by AI labs and robotics companies.