mecka
Mecka AI is seeking a research scientist to develop a full-body motion model that replaces their current egocentric recording pipeline, focusing on generating physically consistent lower-body poses and contact estimates from partial visual evidence. The role involves training generative motion models, implementing physics-based tracking, and defining metrics for lower-body and contact accuracy. The successful candidate will bridge the gap between real-world data and simulation to produce robust, production-ready human motion estimates for robotics applications.
Company Size
1-10 employees
Mecka is the data and deployment layer for physical AI, building infrastructure that helps robots and embodied AI learn from real-world human activity. The company captures, structures, and evaluates real-world activity into datasets that robotics and AI teams can train on, and also supports deployment into commercial settings. Mecka's platform includes Egoverse, a large-scale egocentric human interaction dataset, along with data tools and enterprise evaluation services.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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