# Machine Learning Engineer (Egocentric 3D Human Pose) at Maxinsights

- Company: Maxinsights
- What the company does: Powering generalist robotics and world models with multi-million-hour annotated egocentric data, hand tracking, upper-body/whole-body motion capture, tactile sensing, and simulation for OpenAI, Google DeepMind, Meta, Figure, 1X, Skild, Genesis AI, and Dyna... Backed by South Park Commons.
- Company website: https://maxinsights.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: Santa Clara
- Work setup: On-site
- Posted: 2026-07-13
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/maxinsights/a81aaa2b-431d-4939-adf3-36b8d4c9a157
- Page: https://www.1752.vc/careers/jobs/maxinsights-machine-learning-engineer-egocentric-3d-human-pose/

## About the role

Build 3D body and hand pose estimation models for egocentric video , covering 2D/3D keypoints, parametric body and hand models (SMPL/SMPL-X, MANO), and full-sequence motion recovery from monocular and stereo first-person cameras. Solve the hard cases specific to the egocentric viewpoint — severe self-occlusion, truncated limbs, extreme perspective foreshortening, hand–object interaction, rapid head motion, and rolling-shutter and motion-blur artifacts.

## What they're looking for

- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Computer Vision, Robotics, or a related technical field, or equivalent practical experience
- 3+ years of experience building and shipping machine learning systems
- Proven hands-on experience developing and deploying 3D human pose, hand pose, or human motion tracking models from video
- Working knowledge of multi-view geometry and camera models: projection, calibration, triangulation, rigid-body transforms, and coordinate-frame management
- Strong proficiency in Python and at least one major deep learning framework (e.g. PyTorch, TensorFlow)
- Solid understanding of modern deep learning concepts, training workflows, model evaluation, and real-world, production-oriented ML pipelines

Tags: Engineering, ML & Data