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    InternshipsProCogiaLLM Research Intern

    LLM Research Intern

    ProCogia logo

    ProCogia

    AI Ambition. Made Possible.

    11-50 employeesFounded 2013Vancouver, British ColumbiaData Infrastructure and Analytics
    Posted 9 days agoApply by Aug 27Actively hiringPaidrollingData Infrastructure and Analytics
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    About the role#

    ProCogia is hiring an LLM Research Intern to join our team in Vancouver. This is a hands-on research and engineering role focused on how large language models are adapted, evaluated, and deployed for enterprise use cases. You will work alongside our AI, data science, and engineering teams to experiment with open-weight LLMs, fine-tuning, and inference optimization.

    What you'll do#

    • Assess domain-specific datasets to determine the best adaptation approach.
    • Curate, clean, deduplicate, and structure datasets for training.
    • Fine-tune open-weight LLMs using techniques like LoRA, QLoRA, and PEFT.
    • Establish baseline performance and measure model adaptations.
    • Design evaluation frameworks that cover factuality, reasoning, and model performance.

    What you'll need#

    • Current enrollment in or recent completion of a Bachelor’s, Master’s, or PhD program in Computer Science, Machine Learning, AI, Data Science, or a related field.
    • Strong programming skills in Python.
    • Hands-on experience with machine learning or deep learning.
    • Solid understanding of transformer architectures, LLMs, and modern NLP concepts.
    • Experience with tools such as PyTorch and Hugging Face Transformers.

    Location & details#

    • This position is based on-site in Vancouver, British Columbia.
    • The role is full-time and paid at $23 per hour.
    • The internship term is rolling.
    Relevant fieldsComputer ScienceData ScienceMathematicsStatistics

    About ProCogia

    ProCogia is a consulting firm focused on data infrastructure and analytics. Founded in 2013, the company assists organizations with data engineering, artificial intelligence, and machine learning projects. It operates from a headquarters in Vancouver and maintains teams across North America, India, and Ireland. The firm serves clients in sectors including finance, life sciences, and technology.

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