17 hours 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: 17 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

Website LinkedIn

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TikTok

17 hours 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: 17 hours agoStatus: Live

Job Summary

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

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn