Machine Learning Engineer Intern (E-Commerce Recommendation Foundation)

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    TikTok

    Inspire creativity, bring joy.

    10,001+ employeesLos Angeles, CaliforniaEntertainment Providers
    Actively hiringPaidEntertainment Providers
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    Best applied by Nov 14

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    About the role#

    The Recommendation Foundation team builds shared models across e-commerce scenarios. We focus on an event-sequence-driven generative recommendation paradigm. This work integrates large language and vision-language models, multimodal understanding, and reinforcement learning. We aim to move recommendation systems beyond simple click prediction toward general-purpose agents. You will work in an environment where you can propose hypotheses and test ideas that shape future recommendation systems.

    What you'll do#

    • Participate in the full training lifecycle of Recommendation Foundation Models, covering pre-training, mid-training, and post-training.
    • Design and train multimodal semantic tokenizers for recommendation items. You will use multimodal foundation models to encode item content into discrete tokens.
    • Develop LLM-native recommendation by incorporating tasks directly into model training and using world knowledge to improve quality.
    • Build new recommendation systems that span retrieval, ranking, and end-to-end generative recommendation.

    What you'll need#

    • Currently pursuing a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field.
    • Strong foundation in machine learning and deep learning, with an interest in LLMs and generative recommendation.
    • Proficiency in Python and experience with PyTorch.
    • A self-driven approach, a research mindset, and solid engineering skills.
    • Experience with pre-training, mid-training, or post-training of LLMs or Foundation Models.
    • Research or project experience in generative recommendation, LLM-native recommendation, or multimodal semantic tokenization.
    • Publications on LLM-related topics at top-tier conferences like NeurIPS, ICML, ICLR, ACL, EMNLP, or NAACL, or achievements in major technical competitions.

    Location & details#

    • Location: San Jose, California.
    • Employment: Full-time paid internship.
    • Modality: On-site.
    • Process: Applications are reviewed on a rolling basis.

    About TikTok

    TikTok operates as an entertainment provider. The company maintains a global presence with offices in cities including Los Angeles, Singapore, New York, London, and Tokyo. It employs over 92,000 people. The organization is privately held.

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