Mecka AI
Research Scientist – Full Body Motion
$200K–$230K
Toronto GTA +1 · Hybrid · Full-time · Posted Oct 1, 2026
- Location
- Toronto GTA
New York - Education
- PhD or an equivalent body of work
About the job
Develop a model that estimates physically consistent full-body motion and contact from egocentric camera and sensor evidence, including body parts not visible to the cameras.
What you'll do
- Train generative full-body motion models conditioned on partial egocentric evidence.
- Build physics-based tracking or contact-aware optimization for physically consistent motion and per-frame contact estimates.
- Define evaluation metrics and commission capture data; deliver a runnable prototype for production integration.
What they ask for
- Research record in physics-based character animation, human motion generation, or 3D human pose and shape, with a PhD or equivalent body of work and publications at listed venues.
- Experience training generative motion models on mocap-scale data and conditioning them on constraints.
- Experience with physics-based motion imitation or tracking, simulation, and reinforcement learning at scale.
- Experience with body models and kinematics, plus clean PyTorch research code.
Nice to have
- Egocentric or partial-observation full-body estimation.
- Human–scene interaction and contact, motion cleanup, reusable motion priors, or shipped research models.
Pay
CA$200K – CA$230K (base salary)
Tools
Python, PyTorch, Isaac Lab, MuJoCo, ProtoMotions, MimicKit, SMPL-X, MHR
AI focus
Generative motion models and physics-based tracking or optimization for full-body pose estimation and contact inference.
Model-written summary · the original posting is authoritative