Applied Scientist- TikTok E-Commerce Recommendation

TikTok
Seattle
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Experience: 3+ yearsEducation: phdSkills: ["Problem-solving","Innovation","Analysis","Iteration"]

Build large-scale e-commerce recommendation systems for TikTok Shop, including commodity, live-stream, and short-video recommendations. Develop long- and short-term user interest models using big data to uncover latent interests. Design and iterate on predictive models for candidate generation and ranking such as CTR and conversion-rate prediction, including real-time data pipelines and feature engineering. Create supporting tools for debugging and evaluation.

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FursaFursa
TikTok
TikTok
1 month ago

Applied Scientist- TikTok E-Commerce Recommendation

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build large-scale e-commerce recommendation systems for TikTok Shop, including commodity, live-stream, and short-video recommendations. Develop long- and short-term user interest models using big data to uncover latent interests. Design and iterate on predictive models for candidate generation and ranking such as CTR and conversion-rate prediction, including real-time data pipelines and feature engineering. Create supporting tools for debugging and evaluation.
Location: Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Participate in building large-scale (10M–100M) e-commerce recommendation algorithms and systems for TikTok Shop.
  • •Build long- and short-term user interest models and design algorithms to explore users’ latent interests.
  • •Design, develop, evaluate, and iterate predictive models for candidate generation and ranking (e.g., CTR and conversion-rate prediction).
  • •Develop real-time data pipelines, feature engineering, model optimization, and innovation.
  • •Design and build supporting/debugging tools as needed.

Key Requirements

  • •MS/PhD in Computer Science or a related technical field, or equivalent industrial research experience.
  • •3+ years of experience in recommendation algorithms, online advertising, information retrieval, NLP, machine learning, or large-scale data mining.
  • •Experience building and iterating on predictive models for candidate generation and ranking (e.g., CTR and conversion-rate prediction).
  • •Familiarity with at least one mainstream deep learning framework such as TensorFlow or PyTorch.
  • •Passion for solving complex and challenging problems in large-scale e-commerce recommendation.
Experience:3+ yearsRecommendation algorithmsOnline advertisingInformation retrievalNatural language processingMachine learningLarge-scale data miningE-commerce
Education:PhD / Doctorate in Computer Science
Skills:Problem-solvingInnovationAnalysisIteration
Tech Stack:TensorFlowPyTorch

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