Senior Machine Learning E-commerce Feed Recommendation

TikTok
Seattle
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem-solving"]

Build and improve TikTok Shop recommendation systems for live-streaming and short videos on the For You feed. Develop and iterate on predictive models for candidate generation and ranking, including CTR and conversion-rate prediction, along with feature engineering, optimization, and real-time data pipelines. Create long- and short-term user interest models, address challenges like cold start and traffic allocation, and build tools for supporting and debugging the ML systems.

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FursaFursa
TikTok
TikTok
1 month ago

Senior Machine Learning E-commerce Feed Recommendation

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Last checked: 1 hour agoStatus: Live

Job Summary

Build and improve TikTok Shop recommendation systems for live-streaming and short videos on the For You feed. Develop and iterate on predictive models for candidate generation and ranking, including CTR and conversion-rate prediction, along with feature engineering, optimization, and real-time data pipelines. Create long- and short-term user interest models, address challenges like cold start and traffic allocation, and build tools for supporting and debugging the ML systems.
Location: Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Participate in building large-scale live-streaming and short video e-commerce recommendation algorithms and systems.
  • •Design, develop, evaluate, and iterate on predictive models for candidate generation and ranking, including CTR and conversion-rate prediction.
  • •Build long- and short-term user interest models and design algorithms to explore latent interests efficiently.
  • •Design ML-based strategies to improve shopping experience and address business challenges like cold start and traffic allocation.
  • •Design and build supporting and debugging tools as needed.

Key Requirements

  • •Bachelor's degree or higher in Computer Science or related fields.
  • •Strong programming and problem-solving ability.
  • •3 years of applied machine learning experience, including algorithms such as collaborative filtering, matrix factorization, factorization machines, Word2vec, logistic regression, gradient boosting trees, deep neural networks, or Wide and Deep.
  • •Experience with deep learning tools such as TensorFlow or PyTorch.
  • •Experience with at least one programming language such as C++ or Python (or equivalent).
Experience:E-commerceRecommendation systemsOnline advertisingInformation retrievalNatural language processingLarge-scale data miningMachine learning competitions
Education:Bachelor's
Skills:Problem-solving
Tech Stack:TensorFlowPyTorchC++PythonWord2vecLogistic RegressionGradient Boosting TreesDeep Neural NetworksWide and DeepCollaborative FilteringMatrix FactorizationFactorization Machines

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