Mecka veido fiziskā mākslīgā intelekta infrastruktūru, palīdzot robotikas un iemiesotā mākslīgā intelekta komandām pārvērst cilvēku darbības reālajā pasaulē sistēmās, kas spēj mācīties, kuras var novērtēt un kas uzticami darbojas ārpus laboratorijas. Uzņēmuma Egoverse platforma apvieno liela mēroga egocentriskas datu kopas ar telemetriju, kas aptver redzi, dziļumu, tausti, kustību un lokalizāciju.
Izmantojot izstrādātāju rīkus, API un uzņēmumu pakalpojumus, Mecka atbalsta konkrētiem uzdevumiem paredzētu robotizētu sistēmu novērtēšanu un ieviešanu. Uzņēmums sadarbojas ar aparatūras oriģinālo iekārtu ražotājiem, modeļu izstrādātājiem un komerciālajiem partneriem, nodrošinot robotikai datu un darbības slāni, pats neražojot robotus.
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.
Apraksts
- 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
Prasības
- 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
Priekšrocības
- 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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