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

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Self-driven","Research mindset","Engineering skills","Hypothesis-driven validation"]

Join TikTok’s Recommendation Foundation team in E-commerce, building shared generative recommendation models across scenarios. You’ll participate in the full training lifecycle (pre-, mid-, and post-training), design multimodal semantic tokenizers, and develop LLM-native recommendation by integrating recommendation tasks into large language model training. Work on end-to-end generative systems spanning retrieval, ranking, and generative recommendation to advance recommendations beyond click prediction.

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FursaFursa
TikTok
TikTok
5 hours ago

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

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Job Summary

Join TikTok’s Recommendation Foundation team in E-commerce, building shared generative recommendation models across scenarios. You’ll participate in the full training lifecycle (pre-, mid-, and post-training), design multimodal semantic tokenizers, and develop LLM-native recommendation by integrating recommendation tasks into large language model training. Work on end-to-end generative systems spanning retrieval, ranking, and generative recommendation to advance recommendations beyond click prediction.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate 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 to encode item content into discrete semantic tokens.
  • •Develop LLM-native recommendation by incorporating recommendation tasks directly into large language model training and using world knowledge to improve quality.
  • •Build end-to-end generative recommendation systems powered by Recommendation Foundation Models, spanning retrieval, ranking, and generative recommendation.

Key Requirements

  • •Currently completing or recently completed a Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline.
  • •Strong 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 strong engineering skills.
  • •Ability to commit to an onboarding date by the end of the year; include availability and graduation date in your resume.
Education:Bachelor's in Computer Science, Electrical Engineering, Mathematics, Statistics, or related discipline
Skills:Self-drivenResearch mindsetEngineering skillsHypothesis-driven validation
Tech Stack:PythonPyTorchLLMsVLMsLarge language modelsVision-language modelsMultimodal foundation modelsSemantic tokenizersRetrievalRankingReinforcement learningMultimodal understandingGenerative recommendationGenerative recommendation systems

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