ByteDance

2 days 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: 33 minutes agoStatus: Live

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

Website LinkedIn

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ByteDance

2 days 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: 33 minutes 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 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

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn