LLM Research Intern (December 2026 to April 2027)
- Employment type
- Contract · On-site
- Posted
- November 9, 2026
- NOC code
- 21230
- Province
- British Columbia (BC)
Hiring confidence: Sparse posting · 22/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in British Columbia. The Canadian NOC code for this position is 21230. ProCogia is hiring for this contract position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in British Columbia
Average salary for LLM Research Intern (December 2026 to April 2027) in British Columbia
We do not have a salary benchmark for this title in British Columbia yet. The posting does not state a salary either.
NOC code
21230. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
- Currently enrolled in or recent graduate of computer science, engineering, mathematics, or related field
- Strong foundation in machine learning and deep learning concepts
- Experience with Python and ML frameworks (PyTorch, TensorFlow, etc.)
- Understanding of transformer architectures and language models
- Ability to work in a team environment
Fit check
Is this role right for you?
Top skills this posting asks for:
- Large Language Models (LLM)
- Machine Learning
- Python
Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.
Scan your resume to see your fitKeep looking
Similar jobs
What you'll do
- Conduct research on large language model architectures and applications
- Develop and implement LLM experiments and prototypes
- Analyze and evaluate model performance
- Contribute to AI consulting projects across regulated industries
- Document research findings and technical implementations
- Collaborate with senior researchers and data scientists
- Support client delivery on data and AI initiatives
What you'll need
- Currently enrolled in or recent graduate of computer science, engineering, mathematics, or related field
- Strong foundation in machine learning and deep learning concepts
- Experience with Python and ML frameworks (PyTorch, TensorFlow, etc.)
- Understanding of transformer architectures and language models
- Ability to work in a team environment
- Security clearance eligibility (for regulated industries work)