Tech Lead - TikTok Ecommerce Recommendation Algo

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 3+ yearsEducation: bachelorsSkills: ["Communication","Teamwork","Responsibility","Problem-solving"]

Lead a team of applied machine learning engineers and data scientists building large-scale e-commerce recommendation systems for TikTok Shop. Own the end-to-end pipeline design and optimization, including long- and short-term user interest modeling, candidate generation, and ranking models (e.g., CTR and conversion prediction). Develop real-time data pipelines and feature engineering, evaluate and iterate predictive models, and collaborate cross-functionally with strategy, product, policy, and ops to drive engineering initiatives.

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FursaFursa
TikTok
TikTok
1 month ago

Tech Lead - TikTok Ecommerce Recommendation Algo

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Lead a team of applied machine learning engineers and data scientists building large-scale e-commerce recommendation systems for TikTok Shop. Own the end-to-end pipeline design and optimization, including long- and short-term user interest modeling, candidate generation, and ranking models (e.g., CTR and conversion prediction). Develop real-time data pipelines and feature engineering, evaluate and iterate predictive models, and collaborate cross-functionally with strategy, product, policy, and ops to drive engineering initiatives.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead the team to design, build, and optimize large-scale e-commerce recommendation algorithm pipelines.
  • •Build and refine long- and short-term user interest models to efficiently explore latent interests.
  • •Design, develop, evaluate, and iterate predictive models for candidate generation and ranking, including CTR and conversion rate prediction.
  • •Build, expand, and manage the global e-commerce recommendation team from scratch.
  • •Collaborate with strategy, product managers, policy, and ops to define products and drive initiatives from an engineering perspective.

Key Requirements

  • •Bachelor’s degree in Computer Science or a related technical field.
  • •3+ years of experience in recommendation systems, online advertising, information retrieval, natural language processing, machine learning, or large-scale data mining.
  • •Experience leading an engineering team.
  • •Strong communication and teamwork skills.
  • •Strong sense of responsibility and passion for solving complex, challenging problems.
Experience:3+ yearsRecommendation systemsOnline advertisingInformation retrievalNatural language processingMachine learningLarge-scale data mining
Education:Bachelor's in Computer Science
Skills:CommunicationTeamworkResponsibilityProblem-solving
Tech Stack:Machine learningRecommendation systemsNatural language processingInformation retrievalLarge-scale data miningPredictive modelingReal-time data pipelinesFeature engineeringCTR predictionConversion rate predictionCandidate generationRanking models

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