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

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

Build and deploy LLM-powered agentic systems that accelerate merchant growth across global e-commerce. Use large-scale e-commerce data to generate actionable insights—from CRM content and automated outreach to seller performance prediction and growth-gap identification. Partner with product, data science, and operations to deliver 0-to-1 projects, including lead scoring, merchant tiering, recommendation systems, and knowledge graphs, while translating technical insights for diverse stakeholders.

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FursaFursa
ByteDance
ByteDance
1 month ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and deploy LLM-powered agentic systems that accelerate merchant growth across global e-commerce. Use large-scale e-commerce data to generate actionable insights—from CRM content and automated outreach to seller performance prediction and growth-gap identification. Partner with product, data science, and operations to deliver 0-to-1 projects, including lead scoring, merchant tiering, recommendation systems, and knowledge graphs, while translating technical insights for diverse stakeholders.
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 e-commerce growth scenarios.
  • •Leverage large-scale e-commerce data to power agentic systems that produce actionable insights for merchant operations and outreach.
  • •Use ML models to predict seller performance, identify growth gaps, and deliver agent-based recommendations (campaign design, pricing, promotions).
  • •Collaborate cross-functionally (product, data science, operations) to design and deliver 0-to-1 projects that reshape merchant growth.
  • •Build lead-scoring models, merchant tiering algorithms, outreach optimization systems, and knowledge graphs to improve onboarding and retention.

Key Requirements

  • •Bachelor’s degree and above in Computer Science, Artificial Intelligence, Statistics, Operations Research, or related fields, with experience in data mining or deep learning.
  • •Solid understanding of ML and deep learning fundamentals including classification, regression, NLP, and model optimization.
  • •Strong programming skills in Python and familiarity with ML frameworks such as PyTorch and TensorFlow.
  • •Ability to connect algorithms with business impact and strong ownership and curiosity.
  • •2+ years of experience as an ML Engineer, ideally in NLP, recommendation, marketing, or growth algorithms.
Experience:2+ yearsE-commerceNLPRecommendationData miningLarge-scale dataMulti-agent systems
Education:Bachelor's
Skills:Analytical thinkingTeamworkCommunicationSelf-drivenOwnership
Tech Stack:Machine LearningDeep learningPythonPyTorchTensorFlowNLPLLMsRAGMulti-agent systemsKnowledge graphs

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn