Machine Learning Engineer Graduate (Global E-Commerce, Recommendation) - 2026 Start (PhD)

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Problem-solving","Statistics","Collaboration"]

Build and scale e-commerce recommendation algorithms and systems, including commodity, live-stream, and short-video recommendations. Develop long- and short-term user interest models, and design predictive models for candidate generation and ranking such as CTR and conversion-rate prediction. Create and optimize real-time data pipelines, features, and model improvements, plus supporting tools. Run experiments, debug deployed models, and collaborate across engineering to deploy AI/ML solutions.

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FursaFursa
ByteDance
ByteDance
1 month ago

Machine Learning Engineer Graduate (Global E-Commerce, Recommendation) - 2026 Start (PhD)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 31 days agoStatus: Live
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Job Summary

Build and scale e-commerce recommendation algorithms and systems, including commodity, live-stream, and short-video recommendations. Develop long- and short-term user interest models, and design predictive models for candidate generation and ranking such as CTR and conversion-rate prediction. Create and optimize real-time data pipelines, features, and model improvements, plus supporting tools. Run experiments, debug deployed models, and collaborate across engineering to deploy AI/ML solutions.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Build large-scale e-commerce recommendation algorithms and systems for commodity, live-stream, and short-video recommendations.
  • •Develop long- and short-term user interest models and design algorithms to explore latent user interests.
  • •Design, develop, evaluate, and iterate on predictive models for candidate generation and ranking (e.g., CTR and conversion rate prediction).
  • •Build and debug supporting tools and support scalable, optimized AI/ML model production.
  • •Create pipelines and run experiments to test deployed models, diagnose bugs, and work with the platforms where models are deployed.

Key Requirements

  • •Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • •Strong programming and problem-solving ability.
  • •Experience with applied machine learning and familiarity with recommendation 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 systemsLarge-scale data miningNatural language processingOnline advertising
Education:PhD / Doctorate
Skills:Problem-solvingStatisticsCollaboration
Tech Stack:TensorFlowPyTorchC++PythonCollaborative FilteringMatrix FactorizationFactorization MachinesWord2vecLogistic RegressionGradient Boosting TreesDeep Neural NetworksWide and DeepReal-time data pipelinesFeature engineeringCTR predictionConversion rate prediction

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