Machine Learning Engineer - E-commerce Merchant and Creator Growth - San Jose

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Collaboration","Analytical problem-solving","Stakeholder management","Self-motivation"]

Build supply-side marketplace algorithms for TikTok Shop, helping grow merchants and creators. Use machine learning, data mining, and causal inference to analyze large datasets, engineer features and embeddings, and develop scalable data pipelines. Collaborate with data scientists, product managers, and business stakeholders to define objectives, evaluate approaches, and benchmark model performance for scalable, interpretable solutions.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Engineer - E-commerce Merchant and Creator Growth - San Jose

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Build supply-side marketplace algorithms for TikTok Shop, helping grow merchants and creators. Use machine learning, data mining, and causal inference to analyze large datasets, engineer features and embeddings, and develop scalable data pipelines. Collaborate with data scientists, product managers, and business stakeholders to define objectives, evaluate approaches, and benchmark model performance for scalable, interpretable solutions.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Analyze large-scale datasets using advanced machine learning to identify correlations and causal relations tied to merchant and creator growth.
  • •Partner with business stakeholders and product managers to define data mining objectives and develop strategies for complex marketplace growth problems.
  • •Engineer features and embeddings from raw data to improve machine learning model performance.
  • •Build scalable, efficient data pipelines to preprocess and transform data for machine learning while ensuring quality and availability.
  • •Evaluate and benchmark ML approaches, algorithms, and tools; recommend solutions based on performance, scalability, and interpretability.

Key Requirements

  • •Experience using SQL and Python for data manipulation.
  • •Experience with big data frameworks (e.g., Hadoop, Spark) and distributed computing for large-scale data mining.
  • •Strong understanding of machine/deep learning, including feature engineering, model evaluation, and optimization.
  • •Ability to analyze complex and unstructured datasets and derive actionable insights.
  • •Master’s or advanced degree in Computer Science, Data Science, Statistics, or a related field (preferred).
Experience:E-commerceMarketplaceRecommendation algorithmsAdvertisement algorithmsCausal machine learningUser growthMarketing algorithms
Education:Master's
Skills:CommunicationCollaborationAnalytical problem-solvingStakeholder managementSelf-motivation
Tech Stack:SQLPythonHadoopSparkMachine learningDeep learningFeature engineeringEmbeddingsData miningCausal inference

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