Machine Learning Engineer - E-commerce Merchant and Creator Growth

TikTok
Seattle
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: mastersSkills: ["Communication","Collaboration","Analytical thinking","Problem-solving","Self-motivation"]

Build supply-side machine learning capabilities for TikTok Shop, helping grow the merchant and creator ecosystem. Analyze large-scale datasets to find meaningful correlations and causal relationships, define data mining objectives with stakeholders, and develop feature engineering and embeddings to improve model performance. Create scalable data pipelines, evaluate and benchmark algorithms for performance and interpretability, and communicate insights to technical and business partners.

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FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Engineer - E-commerce Merchant and Creator Growth

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build supply-side machine learning capabilities for TikTok Shop, helping grow the merchant and creator ecosystem. Analyze large-scale datasets to find meaningful correlations and causal relationships, define data mining objectives with stakeholders, and develop feature engineering and embeddings to improve model performance. Create scalable data pipelines, evaluate and benchmark algorithms for performance and interpretability, and communicate insights to technical and business partners.
Location: Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Use advanced machine learning to analyze large-scale datasets and identify correlations and causal relations for merchant and creator growth.
  • •Collaborate with business stakeholders, product managers, and data scientists to define data mining objectives and strategies for complex business problems.
  • •Apply feature engineering to derive features and embeddings from raw data to improve model performance.
  • •Develop scalable data pipelines to preprocess and transform data, ensuring quality, consistency, and availability.
  • •Evaluate and benchmark machine learning approaches and tools, recommending solutions based on performance, scalability, and interpretability.

Key Requirements

  • •3+ years of experience as a Machine Learning Engineer or Data Scientist with causal machine learning experience.
  • •Master’s or advanced degree in Computer Science, Data Science, Statistics, or a related field.
  • •Experience in user growth and/or marketing algorithms such as recommendation or advertisement algorithms.
  • •Proficiency in SQL and Python for data manipulation.
  • •Experience with big data processing frameworks like Hadoop and Spark and distributed computing for large-scale data mining.
Experience:3+ yearsMarketplace growthRecommendation algorithmsAdvertisement algorithms
Education:Master's
Skills:CommunicationCollaborationAnalytical thinkingProblem-solvingSelf-motivation
Tech Stack:Machine LearningData miningCausal inferenceFeature engineeringEmbeddingsSQLPythonHadoopSparkDistributed computingData pipelines

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