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Procogiavia Greenhouse

LLM Research Intern

Vancouver, BC (on-site)Posted 5d ago
NLP / LLMEntry LevelFull-time

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About the Role

About ProCogia: 

We help businesses transform data into real growth!
 
Our clients operate in high-stakes, highly regulated industries (such as telecom, financial services, life sciences, and more), where precision, compliance, and measurable outcomes are non-negotiable. We partner with them by embedding expert data science, engineering, and AI talent directly into projects that matter.
We’re a diverse, close-knit team with a shared goal: delivering top-class, end-to-end data solutions. We don’t just analyse data, we push the boundaries of what’s possible, helping clients unlock new value and insights.
 
When you join ProCogia, you’ll find a supportive, growth-driven environment where your ideas are welcomed, and your development is prioritized. We offer competitive salaries, generous benefits and perks for personal and professional development. 
 
If you’re ready to unleash your potential and work at the cutting edge of data consulting, we’d love to meet you!

The core of our culture is maintaining a high level of cultural equality throughout the company. Our diversity and differences allow us to create innovative and effective data solutions for our clients. 

Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership

Job Title: LLM Research Intern 

Job Summary 

Reporting directly to the AI Solutions Specialist, ProCogia is looking for a curious and driven LLM Research Intern to join our team in Vancouver, BC. In this role, you will work alongside our data science and AI engineering teams to research, experiment with, and evaluate large language models for real-world client applications. You'll have the opportunity to dig into the latest developments in generative AI, from prompt engineering and fine-tuning to retrieval-augmented generation (RAG) and model evaluation, while contributing to meaningful projects that push the boundaries of what's possible with LLMs. 

This is a hands-on internship designed for someone who is passionate about NLP and AI research, eager to bridge the gap between cutting-edge academic work and practical implementation, and excited to grow in a collaborative, fast-paced consulting environment. 

This is an in-person role, 40 hours/week, based in our beautiful downtown Vancouver office. If the co-op is available in July, we would like them to start early and work for part of the summer, as well as the defined co-op term from September-December.

Responsibilities 

  • Assess client-specific data assets and determine the appropriate adaptation strategy — continued pretraining, supervised fine-tuning, or a combination — based on the domain, data volume, and use case requirements 
  • Curate, clean, structure, and prepare domain-specific datasets from raw client data for use in model training pipelines 
  • Fine-tune large language models in the 70B–100B+ parameter range using techniques such as LoRA, QLoRA, and multi-adapter patterns 
  • Perform continued pretraining on open-weight models (Qwen, Llama, and related ecosystems) to embed domain knowledge directly into model weights 
  • Manage distributed training workflows across multi-node GPU clusters 
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