Machine Learning Engineer Intern (E-Commerce Recommendation Foundation) - 2027 Start (PhD）

TikTok
Seattle
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningEducation: phdSkills: ["Self-driven","Research mindset","Engineering skills"]

Join the Recommendation Foundation team in TikTok’s Data organization to help build shared recommendation foundation models across scenarios. Work on an event-sequence-driven generative recommendation paradigm that integrates LLMs/VLMs, multimodal understanding, reinforcement learning, and system optimization. You’ll participate in the model training lifecycle, develop multimodal semantic tokenizers, and build retrieval, ranking, and end-to-end generative recommendation systems—using your research thinking and engineering practice to advance the next generation of recommendation agents.

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FursaFursa
TikTok
TikTok
5 hours ago

Machine Learning Engineer Intern (E-Commerce Recommendation Foundation) - 2027 Start (PhD）

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Last checked: 5 hours agoStatus: Live

Job Summary

Join the Recommendation Foundation team in TikTok’s Data organization to help build shared recommendation foundation models across scenarios. Work on an event-sequence-driven generative recommendation paradigm that integrates LLMs/VLMs, multimodal understanding, reinforcement learning, and system optimization. You’ll participate in the model training lifecycle, develop multimodal semantic tokenizers, and build retrieval, ranking, and end-to-end generative recommendation systems—using your research thinking and engineering practice to advance the next generation of recommendation agents.
Location: Seattle
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Participate in the full training lifecycle of Recommendation Foundation Models, including pre-training, mid-training, and post-training.
  • •Design and train multimodal semantic tokenizers for recommendation items using multimodal foundation models.
  • •Develop LLM-native recommendation by incorporating recommendation tasks into large language model training and using world knowledge to improve quality.
  • •Build next-generation recommendation systems powered by Recommendation Foundation Models across retrieval, ranking, and end-to-end generative recommendation.

Key Requirements

  • •Currently pursuing a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline.
  • •Solid foundation in machine learning and deep learning with strong interest in LLMs and generative recommendation.
  • •Proficiency in Python and experience with deep learning frameworks such as PyTorch.
  • •Self-driven with a research mindset and solid engineering skills.
  • •Preferred: Experience with pre-training, mid-training, or post-training of LLMs or foundation models (or related work).
Experience:E-commerceMachine learningDeep learningGenerative AILLMsRecommendation systems
Education:PhD / Doctorate in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline
Skills:Self-drivenResearch mindsetEngineering skills
Tech Stack:PythonPyTorchLLMsVLMsReinforcement learningMultimodal understanding

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn