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

TikTok
Seattle
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Problem-solving","Research","Strong curiosity","Fast learning"]

Join TikTok’s E-commerce Recommendation team to build and scale cutting-edge recommender systems for a better shopping experience. You’ll research generative and agentic recommendation methods, leverage LLMs with reinforcement learning for improved semantic understanding, and develop next-generation models for long-term value and user experience. Focus on efficient training and inference on GPUs while solving core e-commerce challenges like cold start and long-tail item distribution.

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FursaFursa
TikTok
TikTok
5 hours ago

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

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Last checked: 5 hours agoStatus: Live

Job Summary

Join TikTok’s E-commerce Recommendation team to build and scale cutting-edge recommender systems for a better shopping experience. You’ll research generative and agentic recommendation methods, leverage LLMs with reinforcement learning for improved semantic understanding, and develop next-generation models for long-term value and user experience. Focus on efficient training and inference on GPUs while solving core e-commerce challenges like cold start and long-tail item distribution.
Location: Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Drive the evolution of recommender systems from discriminative to generative paradigms, including generative retrieval and generative re-ranking/blending, while improving personalization and training/inference efficiency on GPUs.
  • •Leverage LLMs and reinforcement learning to improve semantic understanding and reasoning in recommender systems for e-commerce challenges such as cold start and long-tail item distribution.
  • •Explore agentic recommendation research, including self-evolving agents and agent architectures for real-time, personalized decisions and adjustments based on user context.
  • •Develop long-term value and user experience modeling by replacing heuristic rule-based systems with LLM and agent capabilities, optimizing LTV and user experience for sustainable platform growth.

Key Requirements

  • •Completing or recently completed a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline.
  • •Strong foundation in machine learning and deep learning with research or project experience in large language models, reinforcement learning, generative models, recommender systems, or information retrieval.
  • •Proficient in Python and at least one mainstream deep learning framework (PyTorch, TensorFlow, or JAX).
  • •Strong problem-solving skills and passion for tackling complex, open-ended research problems.
Experience:E-commerceRecommendation systemsInformation retrievalLive commerce
Education:PhD / Doctorate
Skills:Problem-solvingResearchStrong curiosityFast learning
Tech Stack:PythonPyTorchTensorFlowJAXGPUsLLMsReinforcement Learning (RL)Generative ModelsLarge Language ModelsRe-ranking

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