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 for e-commerce scenarios. We focus on event-sequence-driven generative recommendation by integrating large language and vision-language models, multimodal understanding, and reinforcement learning. Our goal is to move recommendation systems beyond simple click prediction toward general-purpose agents. You will work in an environment that values original exploration, research thinking, and engineering practice.

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 to encode item content into discrete tokens.
  • Develop LLM-native recommendation by incorporating tasks directly into large language model training to improve quality.
  • Build new recommendation systems that span retrieval, ranking, and end-to-end generative recommendation.

What you'll need#

  • Current enrollment in a PhD program for Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field.
  • A solid 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 work style with strong research and 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 at top-tier conferences like NeurIPS, ICML, ICLR, ACL, EMNLP, or NAACL, or achievements in major technical competitions.

Location & details#

  • Location: Seattle, Washington.
  • Employment: Full-time internship.
  • Modality: On-site.
  • Compensation: $57 per hour.
  • 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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