Machine Learning Engineer - Marketplace Growth (TikTok Global E-commerce Supply Chain and Logistics)

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Collaboration","Analytical thinking","Problem-solving"]

Build end-to-end machine learning capabilities for TikTok’s e-commerce supply chain and logistics, focusing on marketplace growth. You’ll design algorithms for segmentation, scoring, outreach, characterization, and incentive optimization, and run causal studies to support better business decisions. Partner with data scientists, engineers, product managers, and stakeholders to define data mining objectives, engineer features/embeddings, evaluate models for performance and interpretability, and communicate insights across technical and non-technical teams.

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FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Engineer - Marketplace Growth (TikTok Global E-commerce Supply Chain and Logistics)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Build end-to-end machine learning capabilities for TikTok’s e-commerce supply chain and logistics, focusing on marketplace growth. You’ll design algorithms for segmentation, scoring, outreach, characterization, and incentive optimization, and run causal studies to support better business decisions. Partner with data scientists, engineers, product managers, and stakeholders to define data mining objectives, engineer features/embeddings, evaluate models for performance and interpretability, and communicate insights across technical and non-technical teams.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and develop machine learning algorithms for segmentation, scoring, outreach, marketing, characterization, and incentive optimization.
  • •Optimize marketplace growth outcomes through outreach click-through estimation, outreach timing, target audience selection, and causal studies.
  • •Work with data scientists, analysts, and subject matter experts to define data mining objectives and address complex business problems.
  • •Perform feature engineering to derive relevant features and embeddings from raw data and improve data mining model performance.
  • •Evaluate and benchmark ML approaches and tools, recommending solutions based on performance, scalability, and interpretability; communicate results to technical and non-technical stakeholders.

Key Requirements

  • •Master’s or advanced degree in Computer Science, Data Science, Statistics, or a related field.
  • •3+ years of experience as a Machine Learning Engineer or Data Scientist, with deep learning experience preferred.
  • •Experience in user growth and/or marketing, recommendation, or advertisement algorithms is preferred.
  • •Proficiency in SQL and Python, with experience using data manipulation/analysis libraries; TensorFlow or PyTorch preferred.
  • •Experience with big data processing and distributed computing frameworks such as Hadoop and Spark is preferred.
Experience:E-commerceMarketplace growthUser growthData miningDeep learningRecommendationAdvertisingDistributed computing
Education:Master's
Skills:CommunicationCollaborationAnalytical thinkingProblem-solving
Tech Stack:Machine LearningDeep LearningSQLPythonTensorFlowPyTorchHadoopSparkData miningCausal inferenceFeature engineeringEmbeddingsOperations research

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