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    Job · 21176202

    FULLTIME

    AI Research Intern

    Storyvord

    Storyvord

    Not specified · onsite · Posted 5d ago

    Sourced fromFoundit
    Not disclosedFresherfulltimeNot specified

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    Section · 01

    About this role

    AI Research Intern: Computer Vision & Video Understanding (UK Research Collaboration)

    About Storyvord

    Storyvord is an AI-powered platform for film and content production, used by creators and production teams around the world. We're working on an applied AI research collaboration with a UK research institution, and we're looking for curious, driven interns to join the research team.

    The role

    You'll work with our research team on AI for film and video: how machines can understand what happens on screen and in sound. This role suits someone who enjoys experimenting, learns quickly and likes owning a problem from start to finish.

    What you'll do

    • Train, fine-tune and evaluate deep learning models for images, video and audio.
    • Work with computer vision techniques such as CNNs, vision transformers, detection and tracking.
    • Explore how visual and audio signals can be combined for richer understanding.
    • Run experiments, compare against baselines and share what you learn.
    • Read research papers and try out promising ideas.
    • Use AI coding and research tools like Claude Code to move faster, and always check that what they produce is correct.
    • Present your progress to the team and to research collaborators in the UK.

    What we're looking for

    • A student or recent graduate in Computer Science, AI/ML, Electronics or a related field.
    • Good Python skills and hands-on experience with PyTorch or TensorFlow.
    • An understanding of deep learning fundamentals: CNNs, training, fine-tuning and evaluation.
    • Hands-on experience with AI coding assistants, especially Claude Code, for building, debugging and research work.
    • The judgement to validate AI output: you test code before trusting it, check claims against papers or data, and spot when an answer looks confident but is wrong.
    • At least one project in computer vision, video or audio. A college, personal or Kaggle project counts.
    • Curiosity, ownership, and the habit of asking how do I know this actually works
    • Good written and spoken English.

    Nice to have

    • Experience with video or audio data.
    • Familiarity with Hugging Face, OpenCV or ffmpeg.
    • Experience using AI tools across a research workflow: literature review, experiment scripting, data analysis and writing up results.
    • A research paper, thesis or open-source contribution.
    • An interest in films and storytelling.

    What you'll get

    • Real research work on AI for the film industry, not toy tasks.
    • Exposure to an international research collaboration.
    • GPU compute for your experiments.
    • Mentorship from the team, and a path to a full-time role for strong performers.
    • Stipend: 2 Months Unpaid and 4 Months Paid

    Details

    • Duration: 6 months
    • Location: Remote (India)
    • Some overlap with UK working hours (Indian afternoons)

    Interested candidates are requested to fill out the application form below:

    https://docs.google.com/forms/d/e/1FAIpQLScwYlC4BAXsdHINiZLdDKy_iUFNq97tMjVZwtonhDVnbLIdhg/viewform

    Sourced from foundit

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    Section · 02

    Skills

    detection and trackingFFmpegClaude CodeOpencvHugging Face TransformerscnnsVision TransformersPytorchTensorflowPythonDeep Learning

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