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

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem-solving","Passion","Curiosity","Fast learning"]

Build and scale TikTok’s e-commerce recommendation systems, evolving them from discriminative approaches to generative and agentic architectures. Work on generative retrieval, generative re-ranking/blending, and LLM/LLM+RL techniques to improve personalization. Tackle cold start, long-tail item distribution, and user intent modeling while optimizing training and inference efficiency on GPUs. Help replace heuristic systems with models that measure and optimize long-term value (LTV) and user experience.

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FursaFursa
TikTok
TikTok
5 hours ago

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

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Last checked: 5 hours agoStatus: Live

Job Summary

Build and scale TikTok’s e-commerce recommendation systems, evolving them from discriminative approaches to generative and agentic architectures. Work on generative retrieval, generative re-ranking/blending, and LLM/LLM+RL techniques to improve personalization. Tackle cold start, long-tail item distribution, and user intent modeling while optimizing training and inference efficiency on GPUs. Help replace heuristic systems with models that measure and optimize long-term value (LTV) and user experience.
Location: San Jose
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.
  • •Use LLMs and reinforcement learning to enhance semantic understanding and reasoning in e-commerce recommendation scenarios.
  • •Research agentic recommendations using self-evolving agents for real-time, personalized decisions and adjustments.
  • •Model and optimize long-term value (LTV) and user experience by moving beyond heuristic rule-based systems using LLM and agent capabilities.
  • •Continuously improve personalization while optimizing training and inference efficiency of generative models on GPUs.

Key Requirements

  • •Currently completing or recently completed a Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline.
  • •Solid foundation in machine learning and deep learning with research or project experience in areas such as 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.
  • •Preferred: experience with recommendation systems in live commerce/e-commerce/search/ads or other large-scale consumer products.
Education:Bachelor's in Computer Science
Skills:Problem-solvingPassionCuriosityFast learning
Tech Stack:PythonPyTorchTensorFlowJAXGPUsLarge Language Models (LLMs)Reinforcement Learning (RL)Generative ModelsRecommender SystemsInformation Retrieval

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