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

TikTok
Seattle
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Analytical","Problem-solving","Self-driven","Results-oriented","Ownership","Fast learning"]

Join the Global E-commerce Recommendation Live Algorithm team building TikTok Shop’s live commerce recommendation stack, from recall and pre-ranking through ranking and mixed ranking. You’ll develop cross-domain and multimodal models connecting videos, live streams, products, and user behavior, advancing generative and large recommendation models plus reinforcement learning for long-term value optimization. Partner with cross-functional teams to launch scalable solutions and run experiments translating research into measurable GMV and conversion impact.

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FursaFursa
TikTok
TikTok
4 hours ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Join the Global E-commerce Recommendation Live Algorithm team building TikTok Shop’s live commerce recommendation stack, from recall and pre-ranking through ranking and mixed ranking. You’ll develop cross-domain and multimodal models connecting videos, live streams, products, and user behavior, advancing generative and large recommendation models plus reinforcement learning for long-term value optimization. Partner with cross-functional teams to launch scalable solutions and run experiments translating research into measurable GMV and conversion impact.
Location: Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Build and optimize recommendation models across recall, pre-ranking, ranking, and mixed ranking to improve GMV, conversion, watch time, and long-term user value.
  • •Develop cross-domain and multimodal modeling solutions connecting videos, live streams, products, and user behavior to power live commerce recommendations.
  • •Advance next-generation recommendation technologies including generative recommendation, large recommendation models, reinforcement learning, and long-term value optimization.
  • •Partner with cross-functional teams to launch scalable solutions, run experiments, and turn research into measurable business impact.

Key Requirements

  • •Completing or recently completed a Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or related fields.
  • •Strong foundation in machine learning plus at least one area such as recommendation systems, search, advertising, NLP, multimodal learning, or large-scale applied AI.
  • •Strong programming skills in Python or C++, with hands-on experience using deep learning frameworks such as PyTorch.
  • •Good understanding of data structures, algorithms, and large-scale model training or production machine learning systems.
  • •Strong analytical and problem-solving skills to translate business problems into effective modeling solutions.
Experience:Machine learningRecommendation systemsE-commerceLive commerceSearchAdvertisingNLPMultimodal learningLarge-scale AI
Education:Bachelor's in Computer Science, Electrical Engineering, Mathematics, Statistics or a related discipline
Skills:AnalyticalProblem-solvingSelf-drivenResults-orientedOwnershipFast learning
Tech Stack:PythonC++PyTorchDeep learningLLMsMultimodal learningGenerative recommendationLarge recommendation modelsReinforcement learningContrastive learningSFTDistributed trainingRetrievalRankingCausal inference

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