Mecka kuria fizinio dirbtinio intelekto infrastruktūrą ir padeda robotikos bei įkūnytojo dirbtinio intelekto komandoms paversti realaus pasaulio žmonių veiklą sistemomis, kurios gali mokytis, būti vertinamos ir patikimai veikti už laboratorijos ribų. Jos „Egoverse“ platforma sujungia didelės apimties egocentrinius duomenų rinkinius su telemetrija, apimančia vaizdą, gylį, lytėjimą, judėjimą ir lokalizaciją.
Teikdama kūrėjams skirtus įrankius, API ir įmonėms skirtas paslaugas, Mecka padeda vertinti ir diegti konkrečioms užduotims pritaikytas robotines sistemas. Įmonė bendradarbiauja su aparatinės įrangos originalios įrangos gamintojais, modelių kūrėjais ir komerciniais partneriais, teikdama robotikai duomenų ir veiklos sluoksnį, pati negamindama robotų.
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.
Aprašymas
- 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
Reikalavimai
- 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
Privalumai
- 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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