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About the role

  • Mila AI Safety research intern developing public-safety guardrails, benchmarking, and model evaluations. Collaborating with researchers and compute teams on applied machine-learning research in Montréal.

Responsibilities

  • Increase the impact of cutting-edge machine learning research by collaborating with researchers and the Mila AI Safety Studio.
  • Design and implement safety guardrails in the public safety domain.
  • Develop dynamic benchmarking, red-teaming simulations, harm-detection guardrails, and automated evaluation methods.
  • Collaborate with the Mila compute cluster team to use computing infrastructure efficiently.
  • Create rigorous internal technical documentation.
  • Document and write a scientific manuscript on the Mila Safety Studio’s work.
  • Collaborate with product managers to understand the requirements needed to design experiments.
  • Work with researchers to select, evaluate, and integrate appropriate AI technologies.
  • Identify applied research opportunities arising from prototypes and user feedback.
  • Optimize research, model training, and inference processes.

Requirements

  • Research experience in AI, with multiple publications at major conferences such as NeurIPS, ICML, or ICLR.
  • Strong scientific curiosity about applied research in AI safety.
  • Excellent ability to communicate complex scientific concepts to people with varying levels of scientific knowledge.
  • Ability to collaborate effectively with multidisciplinary teams.
  • Experience with agile software development and product management.
  • PhD in computer science, data science, or a related field.
  • Advanced proficiency in Python.

Benefits

  • Strong publication potential
  • Encouragement to publish contributions in peer-reviewed conferences or papers
  • Opportunity to contribute to the responsible adoption of AI to solve important societal problems

Job type

Contract

Experience level

Entry level

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

Python

Location requirements

HybridMontrealCanada

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