Mecka builds infrastructure for Physical AI, helping robotics and embodied-AI teams turn real-world human activity into systems that can learn, be evaluated, and operate reliably outside the lab. Its Egoverse platform combines large-scale egocentric datasets with telemetry across vision, depth, tactile sensing, motion, and localization.
Through developer tools, APIs, and enterprise services, Mecka supports the evaluation and deployment of task-specific robotic systems. The company works with hardware OEMs, model developers, and commercial partners, providing the data and operational layer for robotics without manufacturing robots itself.
Part-Time Research Associate, Scientific Operations
Conduct biology and chemistry protocols for Mecka’s robotics data infrastructure. Create traceable scientific datasets through wet-lab work, automation, and filmed procedures.
Description
- Conduct and record a range of biology and chemistry protocols and experimental setups
- Prepare materials and instruments, follow established methods, and work safely across laboratory tasks
- Carry out procedures on camera and explain each action clearly
- Record methods, settings, observations, results, and deviations to support traceability
- Manage supplies, inspect equipment, reset workspaces, and enable reliable repeat experiments
- Investigate experimental and technical issues, report failures promptly, and test agreed improvements
- Use technical skills to improve the reliability and efficiency of preparation, execution, and documentation
- Create scientific datasets for AI and robotics
Requirements
- Hands-on laboratory experience in biology, chemistry, or a related experimental field
- Sound experimental judgment and precise recordkeeping
- Practical robotics and automation skills, including building, integrating, operating, or troubleshooting systems in research, coursework, or projects
- Demonstrated interest in AI, computer vision, and robotics
- Relevant employment, projects, or independent learning in AI, computer vision, or robotics
- Clear communication and ability to explain laboratory techniques under agreed filming arrangements
- Dependable on-site attendance in Toronto
- Ability to solve problems independently and judge when to stop or seek help
- MSc or PhD students and recent graduates with wet-lab and robotics or automation skills are welcome
- Python, instrument control, computer vision, or scientific software experience is a strong advantage
- Lab teaching assistant or teaching experience, laboratory management or operations experience, and projects linking software with physical systems or self-driving labs are strong advantages
Benefits
- Flexible scheduling
- Potential extension depending on project needs
- Inclusive and supportive candidate experience
- Interview accommodations available
- Equal treatment and opportunity throughout recruitment, selection, and employment
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