Machine Learning Engineer (Recommendation), Global E-Commerce Alliance

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

Build and design large-scale recommendation algorithms to model creators’ real-time interests and improve conversion efficiency. Optimize massive commodity relationship mining, ranking, recall, and GMV by analyzing creator and merchant behavior at scale. Develop scalable AI/ML models, including ETL for realtime unstructured data, run and debug experiments in production systems, and collaborate with relevant software platforms to support e-commerce growth for millions of merchants.

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FursaFursa
ByteDance
ByteDance
1 month ago

Machine Learning Engineer (Recommendation), Global 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: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and design large-scale recommendation algorithms to model creators’ real-time interests and improve conversion efficiency. Optimize massive commodity relationship mining, ranking, recall, and GMV by analyzing creator and merchant behavior at scale. Develop scalable AI/ML models, including ETL for realtime unstructured data, run and debug experiments in production systems, and collaborate with relevant software platforms to support e-commerce growth for millions of merchants.
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 creators’ real-time interests and improve conversion efficiency.
  • •Optimize commodity relationship mining, ranking, and recall for product recommendations to improve overall platform GMV.
  • •Analyze creator and merchant behavior at scale to create targeted algorithm strategies that improve monetization efficiency and support industrial upgrading.
  • •Develop scalable and optimized AI/ML models, including ETL pipelines for realtime, unstructured data to deploy ML solutions.
  • •Run experiments on deployed models to evaluate performance and identify and resolve issues; collaborate with platforms and teams to deploy models.

Key Requirements

  • •Bachelor’s, Master’s, or PhD degree in Computer Science or a related field.
  • •Experience with 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 and familiarity with recommendation/ML algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, or Deep Neural Networks.
  • •Industry experience in personalized recommendation, online advertising, information retrieval, or related fields.
Experience:E-commercePersonalized recommendationOnline advertisingInformation retrieval
Education:
Skills:CommunicationCooperationExcellent learning abilityProblem-solving
Tech Stack:C++PythonHive SQLSparkMapReduceTensorFlowPyTorchCollaborative FilteringMatrix FactorizationFactorization MachinesWord2vecLogistic RegressionGradient Boosting TreesDeep Neural Networks

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn