Mecka Physical AI uchun infratuzilma yaratadi va robototexnika hamda jismoniy muhitda ishlaydigan sunʼiy intellekt jamoalariga real hayotdagi inson faoliyatini o‘rganadigan, baholanadigan va laboratoriyadan tashqarida ishonchli ishlaydigan tizimlarga aylantirishda yordam beradi. Uning Egoverse platformasi katta hajmdagi egosentrik maʼlumotlar to‘plamlarini ko‘rish, chuqurlik, taktil sezish, harakat va joylashuv haqidagi telemetriya bilan birlashtiradi.
Mecka dasturchilar uchun vositalar, API’lar va korporativ xizmatlar orqali muayyan vazifalarga mo‘ljallangan robot tizimlarini baholash va joriy etishni qo‘llab-quvvatlaydi. Kompaniya robotlarning o‘zini ishlab chiqarmasdan, robototexnika uchun maʼlumotlar va operatsion qatlamni taqdim etadi hamda apparat OEM ishlab chiqaruvchilari, model yaratuvchilari va tijoriy hamkorlar bilan ishlaydi.
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.
Tavsif
- 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
Talablar
- 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
Imtiyozlar
- 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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Ish o‘rinlari topilmadi
Ko‘proq imkoniyat topish uchun filtrlarni o‘zgartiring yoki tozalang.