Visiting Researcher, AI Mentorship Program; PhD | Chercheur invité, programme de mentorat
Listed on 2025-12-02
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IT/Tech
Data Scientist, AI Engineer, Machine Learning/ ML Engineer, Artificial Intelligence
Location: Montreal
Visiting Researcher, AI Mentorship Program (PhD)
Meta is seeking Visiting Researchers to join Meta AI through a short‑term contract. This position is part‑time, short‑term employment for PhD students affiliated with Mila at McGill University, the University of Montréal, Polytechnique Montréal, or HEC Montréal. Students will collaborate with Meta and their university, working 20 hours per week onsite in the Meta Montreal office. The duration of the AI Mentorship Program is one year, with the potential to extend through a second year depending on performance.
Applications for the 2026‑27 cohort will be open November 17 to January 9, and the program will begin fall 2026.
- Perform research to advance the science and technology of intelligent systems.
- Conduct research that improves computational understanding and representation of data.
- Devise data‑driven models of human behavior.
- Influence progress of relevant research communities by producing publications.
- Collaborate and increase productivity on existing Meta research projects.
- In the process of obtaining a PhD degree in a technical field such as Computer Science from McGill University, the University of Montréal, Polytechnique Montréal, or HEC Montréal and affiliated with Mila.
- The primary academic advisor must be a tenure‑track or tenured faculty member at one of the universities mentioned above. Meta may, in its discretion, grant an exception where no potential conflict exists.
- Research experience in Computer Vision, Machine Learning, Natural Language Processing, Optimization, Speech, Safety & Alignment, Recommendation Systems, Large Language Models, RAG, Graph/Sequence learning, User/Content Understanding, or Distributed Training.
- Experience with Python, Lua, C++, C, C#, and/or Java.
- Experience with deep learning frameworks such as PyTorch.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Experience building systems based on machine learning and/or deep learning methods.
- Research and software engineering experience demonstrated via an internship, work experience, coding competitions, or open‑source contributions.
- Proven track record of achieving significant results as demonstrated by publications at leading conferences or workshops such as ICML, NeurIPS, ICLR, CVPR, ICCV, EMNLP, ACL, or similar.
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
CompensationCA $85,000/year to CA $115,000/year + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits.
Learn more about benefits at Meta.
Seniority level:
Not Applicable
Employment type:
Full‑time
Job function:
Research, Analyst, and Information Technology
Industries:
Technology, Information and Internet
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