Machine Learning Engineer (Recommendation) ,TikTok e-Commerce Alliance

TikTok
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Learning ability","Communication","Cooperation","Problem-solving"]

Build and design large-scale ML algorithms to model real-time creator interests and improve conversion efficiency for TikTok’s e-commerce ecosystem. Optimize relationship mining, ranking, and recall for personalized product recommendations to drive GMV. Use massive unstructured real-time data to develop scalable AI/ML models, run experiments to validate performance, and debug deployed systems using statistics, scripting, and data platforms.

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FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Engineer (Recommendation) ,TikTok e-Commerce Alliance

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build and design large-scale ML algorithms to model real-time creator interests and improve conversion efficiency for TikTok’s e-commerce ecosystem. Optimize relationship mining, ranking, and recall for personalized product recommendations to drive GMV. Use massive unstructured real-time data to develop scalable AI/ML models, run experiments to validate performance, and debug deployed systems using statistics, scripting, and data platforms.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and design large-scale machine learning algorithms to model real-time interests of creators to improve conversion efficiency.
  • •Optimize commodity relationship mining, ranking, and recall for creator product recommendations to improve overall platform GMV.
  • •Analyze behavior of creators and merchants using large-scale data to build targeted algorithm strategies that improve monetization efficiency and support industrial upgrading.
  • •Support scalable and optimized AI/ML model production and deployment using algorithms based on extraction, transformation, and loading of large volumes of real-time unstructured data.
  • •Run experiments to test deployed model performance, identify and resolve bugs, and work with deployed software platforms.

Key Requirements

  • •Bachelor’s, Master’s, or PhD degree in Computer Science or a related field.
  • •Experience in C++ and Python.
  • •Proficiency in at least one big data tool (e.g., Hive SQL, Spark, MapReduce) and at least one deep learning tool (e.g., TensorFlow, PyTorch).
  • •Applied machine learning experience with recommendation algorithms such as collaborative filtering, matrix factorization, factorization machines, Word2vec, logistic regression, gradient boosting trees, and deep neural networks.
  • •Industry experience in personalized recommendation, online advertising, information retrieval, or related fields.
Experience:E-commercePersonalized recommendationOnline advertisingInformation retrievalReal-time dataUnstructured data
Education:
Skills:Learning abilityCommunicationCooperationProblem-solving
Tech Stack:C++PythonHive SQLSparkMapReduceTensorFlowPyTorchCollaborative FilteringMatrix FactorizationFactorization MachinesWord2vecLogistic RegressionGradient Boosting TreesDeep Neural NetworksKDDNeurIPSWWWSIGIRWSDMCIKM

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