AI/ML Engineer Intern (2027)

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    Georgian

    Georgian is a growth-stage investor that builds software to help our companies scale faster.

    51-200 employeesFounded 2008Toronto, OnVenture Capital and Private Equity Principals
    Actively hiringPaidrollingVenture Capital and Private Equity Principals
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    Best applied by Oct 12

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    About the role#

    Georgian is a growth equity firm that invests in B2B technology companies. Our in-house AI Lab of engineers and scientists works directly with portfolio companies on production AI deployment and conducts technical diligence for our investment process. This internship offers the opportunity to support machine learning projects and gain experience across the investment lifecycle.

    What you'll do#

    • Support the development of AI systems, including LLM agents and RAG pipelines.
    • Assist with code implementation and testing for portfolio projects.
    • Convert technical concepts into clear documentation.
    • Help prepare demos and presentations for stakeholders.
    • Assist with rapid prototyping, experiments, and internal technical notes.

    What you'll need#

    • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Statistics, or a related quantitative discipline.
    • Strong focus on machine learning or optimization theory.
    • Proficiency in Python and foundational software development skills.
    • Familiarity with deep learning toolkits like Scikit-learn, TensorFlow, or PyTorch.
    • Ability to work effectively within a team and communicate technical findings to diverse audiences.

    Location & details#

    • Location: Toronto, Ontario, Canada.
    • Work Modality: Hybrid.
    • Employment Type: Full-time intern.
    • Term: Rolling.
    • Compensation: Paid position.

    About Georgian

    Georgian is a venture capital and private equity firm based in Toronto. Founded in 2008, the company invests in growth-stage B2B software businesses. It focuses on the sectors of Applied AI and Trust. The firm employs 138 people and builds software tools to assist its portfolio companies with scaling operations.

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