Research Scientist: 3D Human Pose & Mesh Estimation in Winnipeg

Research Scientist: 3D Human Pose & Mesh Estimation in Winnipeg

Winnipeg Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Architect and train models for 3D human body tracking and pose estimation.
  • Company: Join Mecka, a leader in embodied AI and robotics innovation.
  • Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting challenges in perception technology.
  • Why this job: Make a real impact on humanoid robots and cutting-edge robotics applications.
  • Qualifications: Experience in model development and a passion for AI and robotics.

The predicted salary is between 135000 - 165000 $ per year.

Mecka is seeking a Research Scientist to architect and train proprietary foundation models for 3D human body tracking and articulated pose estimation.

You will design end-to-end systems and leverage proprietary motion data to push the state-of-the-art in human-scene perception for embodied AI.

The role covers model development, large-scale multi-GPU training, and solving perception challenges in occlusions and dynamic motion, with impact on humanoid robots and real-world robotics applications.

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Research Scientist: 3D Human Pose & Mesh Estimation in Winnipeg 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: 3D Human Pose & Mesh Estimation in Winnipeg

3D Human Pose Estimation
Mesh Estimation
Model Development
Multi-GPU Training
Human-Scene Perception
Embodied AI
Perception Challenges