Mecka razvija infrastrukturo za fizično umetno inteligenco ter ekipam na področju robotike in utelešene umetne inteligence pomaga pretvarjati človekove dejavnosti v resničnem svetu v sisteme, ki se lahko učijo, jih je mogoče vrednotiti in zanesljivo delujejo zunaj laboratorija. Njena platforma Egoverse združuje obsežne egocentrične nabore podatkov s telemetrijo vida, globine, tipnega zaznavanja, gibanja in lokalizacije.
Mecka z razvojnimi orodji, API-ji in poslovnimi storitvami podpira vrednotenje in uvajanje robotskih sistemov za specifične naloge. Podjetje sodeluje s proizvajalci strojne opreme, razvijalci modelov in komercialnimi partnerji ter zagotavlja podatkovni in operativni sloj za robotiko, ne da bi samo izdelovalo robote.
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.
Opis
- 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
Zahteve
- 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
Ugodnosti
- 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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