Machine Learning Engineer Graduate (Global E-Commerce, Recommendation) - 2027 Start

TikTok
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Collaboration","Experimentation","Debugging"]

Develop large-scale e-commerce recommendation algorithms and systems spanning commodity, live-stream, and short-video recommendations. Build user interest models and design predictive candidate generation and ranking systems (e.g., CTR and conversion). Engineer real-time data pipelines with feature engineering and model optimization, support scalable production ML deployments, and run experiments to evaluate and debug deployed models. Collaborate with software platforms and apply statistics, scripting, and programming skills to improve user engagement and satisfaction.

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FursaFursa
TikTok
TikTok
1 day ago

Machine Learning Engineer Graduate (Global E-Commerce, Recommendation) - 2027 Start

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Develop large-scale e-commerce recommendation algorithms and systems spanning commodity, live-stream, and short-video recommendations. Build user interest models and design predictive candidate generation and ranking systems (e.g., CTR and conversion). Engineer real-time data pipelines with feature engineering and model optimization, support scalable production ML deployments, and run experiments to evaluate and debug deployed models. Collaborate with software platforms and apply statistics, scripting, and programming skills to improve user engagement and satisfaction.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Build large-scale (billion-level) e-commerce recommendation algorithms and systems for commodity, live stream, and short video recommendations.
  • •Create long- and short-term user interest models and design algorithms to explore users' latent interests from large datasets.
  • •Design, develop, evaluate, and iterate on predictive models for candidate generation and ranking, including CTR and conversion-rate prediction.
  • •Design and build supporting/debugging tools as needed and support production of scalable, optimized AI/ML models.
  • •Run experiments to test deployed model performance, identify issues, and resolve bugs, while working with deployed model platforms.

Key Requirements

  • •Completing or recently completed a Bachelor's or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • •Strong programming and problem-solving ability.
  • •Applied machine learning experience, including one or more recommendation/ML algorithms such as collaborative filtering, matrix factorization, factorization machines, word2vec, logistic regression, gradient boosting trees, deep neural networks, or wide & deep.
  • •Deep learning tool experience using tensorflow and/or pytorch.
  • •Experience with at least one programming language such as C++ or Python (or an equivalent).
Experience:E-commerceRecommendation systemsOnline advertisingInformation retrievalNatural language processingLarge-scale data miningData miningMachine learning competitions
Education:
Skills:Problem-solvingCollaborationExperimentationDebugging
Tech Stack:PythonC++TensorFlowPyTorchCollaborative FilteringMatrix FactorizationFactorization MachinesWord2vecLogistic RegressionGradient Boosting TreesDeep Neural NetworksWide and DeepClick Through RateConversion RateReal-time data pipelinesFeature engineering

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