Research Scientist (3D Human Pose Estimation)

Location: Hybrid in the Toronto GTA or New York

Salary: $150K–$200K total wage range, including base salary and on-target incentives where applicable

Company

hirify.global builds data infrastructure for robotics and embodied AI, including systems for data capture, data labeling, and hardware-enabled workflows.

What you will do

• Design, implement, and train proprietary models for 3D human pose estimation, full-body mesh recovery, and kinematic tracking.
• Scale multi-view and temporal architectures across multi-GPU clusters and massive multimodal datasets.
• Develop loss functions that enforce biomechanical constraints, temporal smoothness, postural balance, and physical plausibility.
• Model human-scene interaction under motion blur, severe self-occlusion, crowding, and complex environments.
• Prototype perception models for action segmentation, intent prediction, and new hardware sensor integrations.
• Connect human tracking outputs to optimized pipelines for contact, gravity, momentum, robotic control, and locomotion.

Requirements

• Deep expertise in deep learning, 3D computer vision, articulated tracking, and human body pose estimation.
• Proven experience training large-scale vision models from scratch.
• Strong knowledge of parametric body models such as SMPL, SMPL-X, GHUM, MHR, or SOMA-X, as well as inverse kinematics and dense mesh estimation.
• Mastery of PyTorch and deep learning scaling frameworks.
• Experience curating massive, multi-terabyte image and video datasets.
• Ability to work in a fast-paced research environment with shifting priorities.

Nice to have

• First-author publications at CVPR, ICCV, ECCV, NeurIPS, or similar venues.
• Experience with human motion datasets such as AMASS, Human3.6M, EgoBody, or PROX.

Culture & Benefits

• Access to continuous proprietary ground-truth data for human motion.
• Blank-slate R&D ownership without responsibility for maintaining legacy systems.
• Compute resources for developing state-of-the-art models.
• Models directly influence embodied AI agents, mobile manipulators, and humanoid robots.
• Inclusive hiring practices and accommodations throughout the interview process.