Mila - Quebec Artificial Intelligence Institute
Mila - Quebec Artificial Intelligence Institute
Mila – Kvebek sun’iy intellekt instituti — mashinaviy o‘rganish va sun’iy intellektni rivojlantirishga e’tibor qaratadigan, Monrealda joylashgan tadqiqot va ta’lim hamjamiyatidir. Yoshua Bengio tomonidan asos solingan va Kvebek universitetlari bilan bog‘langan Mila til va tasvirlarni qayta ishlash, robototexnika, fan va sog‘liqni saqlash uchun sun’iy intellekt, mas’uliyatli sun’iy intellekt, shuningdek atrof-muhit va energetika sohalaridagi qo‘llanmalar bo‘yicha ishlaydigan 1 400 dan ortiq tadqiqotchini birlashtiradi. Akademik tadqiqotlar va nashrlardan tashqari, Mila sun’iy intellekt siyosati hamda jamoat manfaatlariga xizmat qiluvchi tashabbuslarni qo‘llab-quvvatlaydi, Mila Ventures va amaliy loyihalar orqali startaplar va sanoat bilan hamkorlik qiladi, yozgi maktablar va uzluksiz ta’lim kurslari kabi dasturlar orqali esa kasbiy rivojlanishga ko‘maklashadi.

AI Safety Research Intern — Montréal (Hybrid)

Join Mila’s AI Safety Studio to develop public-safety guardrails, benchmarks, and model evaluation methods. Collaborate with researchers, product managers, and compute teams on applied machine-learning research in Montréal.

Tavsif

  • Advance machine-learning research by working with Mila researchers and the AI Safety Studio.
  • Design and implement safety guardrails for public-safety applications.
  • Build dynamic benchmarks, red-teaming simulations, harm-detection safeguards, and automated evaluation methods.
  • Partner with the Mila compute cluster team to use computing infrastructure efficiently.
  • Produce thorough internal technical documentation.
  • Document the Mila Safety Studio’s work and prepare a scientific manuscript.
  • Work with product managers to define requirements for experimental design.
  • Help researchers select, assess, and integrate suitable AI technologies.
  • Find applied research opportunities based on prototypes and user feedback.
  • Improve research, model-training, and inference workflows.

Talablar

  • Demonstrated AI research experience, including multiple publications at major conferences such as NeurIPS, ICML, or ICLR.
  • Strong scientific curiosity about applied AI safety research.
  • Excellent communication skills for explaining complex scientific concepts to audiences with varied technical backgrounds.
  • Ability to work effectively with multidisciplinary teams.
  • Experience with agile software development and product management.
  • PhD in computer science, data science, or a related discipline.
  • Advanced Python proficiency.

Imtiyozlar

  • Strong potential for research publications.
  • Support for publishing contributions in peer-reviewed conferences or papers.
  • Opportunity to advance the responsible use of AI in addressing important societal challenges.

O‘xshash ish o‘rinlari

General Dynamics Information Technology

Senior AI Engineer and Architect

General Dynamics Information Technology

Lead AI, machine learning, and large language model architecture for General Dynamics Information Technology’s government, defense, and intelligence missions. Take solutions from proof of concept to production across complex operational settings.

Ochish