Machine Learning Engineer , E-commerce Merchant Growth (LLM & Agentic Systems)

TikTok
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: ["Ownership","Analytical thinking","Teamwork","Communication","Self-driven"]

Build LLM-powered agentic systems that accelerate merchant growth in a global e-commerce ecosystem. Develop and deploy deep learning and machine learning models for merchant operational tools, lead scoring, tiering, outreach optimization, and knowledge graphs. Use large-scale e-commerce data to generate actionable insights, predict seller performance, and optimize pricing, promotions, and traffic allocation. Collaborate with product, data science, and operations to deliver 0-to-1 projects with real business impact.

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FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Engineer , E-commerce Merchant Growth (LLM & Agentic Systems)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Build LLM-powered agentic systems that accelerate merchant growth in a global e-commerce ecosystem. Develop and deploy deep learning and machine learning models for merchant operational tools, lead scoring, tiering, outreach optimization, and knowledge graphs. Use large-scale e-commerce data to generate actionable insights, predict seller performance, and optimize pricing, promotions, and traffic allocation. Collaborate with product, data science, and operations to deliver 0-to-1 projects with real business impact.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and deploy deep learning and LLM-powered systems for merchant operational tools and global e-commerce growth scenarios.
  • •Use large-scale e-commerce data to power agentic systems that generate actionable insights (e.g., CRM content generation, store decoration, automated email reply, outreach optimization).
  • •Predict seller performance, identify growth gaps, and provide agent-based recommendations such as campaign design, pricing, and promotions.
  • •Collaborate with cross-functional partners to design and deliver 0-to-1 projects that reshape how merchants grow across key categories.
  • •Build lead-scoring models, merchant tiering algorithms, outreach optimization systems, and knowledge graphs to improve onboarding and retention; apply predictive modeling to optimize pricing, promotions, and traffic allocation strategies.

Key Requirements

  • •Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Statistics, Operations Research, or related fields, with data mining or deep learning experience.
  • •Strong ML/deep learning fundamentals including classification, regression, NLP, and model optimization.
  • •Programming skills in Python and familiarity with ML frameworks such as PyTorch and TensorFlow.
  • •Ability to connect algorithms to business impact, with strong ownership and curiosity.
  • •2+ years of experience as an ML Engineer, ideally in NLP, recommendation, marketing, or growth algorithms.
Experience:2+ years
Education:Bachelor's in Computer Science, Artificial Intelligence, Statistics, Operations Research, or related fields
Skills:OwnershipAnalytical thinkingTeamworkCommunicationSelf-driven
Tech Stack:PythonPyTorchTensorFlowNLPLLMRAGMulti-agent systemsKnowledge graphsData mining

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