Research Scientist - Physics-Based Motion & Full-Body AI in Richmond Hill

Research Scientist - Physics-Based Motion & Full-Body AI in Richmond Hill

Richmond Hill Full-Time 90000 - 110000 $ / year (est.) On-site
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At a Glance

  • Tasks: Design cutting-edge motion solutions using physics and AI for full-body capture.
  • Company: Join Mecka, a leader in innovative motion technology.
  • Benefits: Competitive salary, flexible work hours, and opportunities for research publication.
  • Other info: Collaborative environment with opportunities for professional growth and innovation.
  • Why this job: Make a real impact in the future of motion technology and AI.
  • Qualifications: Strong background in motion generation, 3D human pose, and physics-based animation.

The predicted salary is between 90000 - 110000 $ per year.

Mecka is building a physics-based, data-driven full-body motion solution for egocentric capture using MHR/SOMA-X tooling.

You will design a generative motion prior conditioned on partial evidence from ego-exo rigs and mocap data, then integrate physics-based tracking to ensure physical plausibility and ground contact.

The role seeks researchers with strong publications in motion generation, 3D human pose, and physics-based animation.

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Research Scientist - Physics-Based Motion & Full-Body AI in Richmond Hill employer: Mecka

At Mecka, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to take ownership of their projects. As an End-to-End Camera & Sensor Calibration Engineer, you will have access to cutting-edge technology and the opportunity for professional growth in a dynamic environment. Our commitment to quality and teamwork ensures that you will be part of a supportive community dedicated to excellence in production systems.

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Contact Details:

Mecka Recruitment Team

We think you need these skills to ace Research Scientist - Physics-Based Motion & Full-Body AI in Richmond Hill

Motion Generation
3D Human Pose Estimation
Physics-Based Animation
Data-Driven Modelling
Generative Motion Prior Design
Ego-Exo Rig Integration
Mocap Data Analysis