Mila - Quebec Artificial Intelligence Institute
Mila - Quebec Artificial Intelligence Institute
Mila – Квебек жасанды интеллект институты – машиналық оқыту мен жасанды интеллектіні дамытуға бағытталған, Монреальда орналасқан зерттеу және білім беру қауымдастығы. Оны Йошуа Бенжио құрған, ал Квебек университеттерімен байланысы бар Mila тіл және кескіндерді өңдеу, робототехника, ғылым мен денсаулық сақтау салаларындағы жасанды интеллект, жауапты жасанды интеллект, сондай-ақ қоршаған орта мен энергетикаға арналған қолданбалар бағыттарында жұмыс істейтін 1 400-ден астам зерттеушіні біріктіреді. Академиялық зерттеулер мен жарияланымдардан бөлек, Mila жасанды интеллект саясаты мен қоғамдық мүддеге бағытталған бастамаларды қолдайды, Mila Ventures және қолданбалы жобалар арқылы стартаптармен және өнеркәсіппен ынтымақтастық орнатады, сондай-ақ жазғы мектептер мен үздіксіз білім беру курстары сияқты бағдарламалар арқылы кәсіби оқуды дамытады.

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.

Сипаттама

  • 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.

Талаптар

  • 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.

Артықшылықтар

  • 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.

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