1 day 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: 10 hours agoStatus: Live

Job Summary

Build and deploy LLM-powered agentic systems to accelerate merchant growth across global e-commerce. Leverage large-scale commerce data to generate actionable insights, automate CRM-related content and outreach, and improve onboarding and retention with lead scoring and tiering. Use ML and predictive modeling to identify growth gaps and optimize pricing, promotions, and traffic allocation. Partner with product, data science, and operations to deliver 0-to-1 projects at scale.

Location: San Jose

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.
•Use large-scale e-commerce data to power agentic systems that generate actionable insights such as CRM content generation and automated email reply.
•Apply ML models to predict seller performance, identify growth gaps, and provide agent-based recommendations for campaign design, pricing, and promotions.
•Collaborate with cross-functional partners to deliver 0-to-1 projects reshaping how merchants grow across major categories.
•Build lead-scoring, merchant tiering, outreach optimization systems, and knowledge graphs to improve onboarding and retention efficiency.

Key Requirements

•Master’s or PhD in Computer Science, Artificial Intelligence, Statistics, Operations Research, or related fields, with experience in data mining or deep learning.
•Strong ML and deep learning fundamentals, including classification, regression, NLP, and model optimization.
•Proficiency 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+ yearsE-commerceData miningMachine learningNLPRecommendation systemsMarketingGrowth algorithms

Education:

Skills:OwnershipCuriosityAnalytical thinkingTeamworkCommunication

Tech Stack:PythonPyTorchTensorFlowNLPLLM-powered systemsMulti-agent systemsRAGRetrieval-augmented generationKnowledge graphsDeep learningData 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

1 day 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: 10 hours agoStatus: Live

Job Summary

Location: San Jose

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.
•Use large-scale e-commerce data to power agentic systems that generate actionable insights such as CRM content generation and automated email reply.
•Apply ML models to predict seller performance, identify growth gaps, and provide agent-based recommendations for campaign design, pricing, and promotions.
•Collaborate with cross-functional partners to deliver 0-to-1 projects reshaping how merchants grow across major categories.
•Build lead-scoring, merchant tiering, outreach optimization systems, and knowledge graphs to improve onboarding and retention efficiency.

Key Requirements

•Master’s or PhD in Computer Science, Artificial Intelligence, Statistics, Operations Research, or related fields, with experience in data mining or deep learning.
•Strong ML and deep learning fundamentals, including classification, regression, NLP, and model optimization.
•Proficiency 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+ yearsE-commerceData miningMachine learningNLPRecommendation systemsMarketingGrowth algorithms

Education:

Skills:OwnershipCuriosityAnalytical thinkingTeamworkCommunication

Tech Stack:PythonPyTorchTensorFlowNLPLLM-powered systemsMulti-agent systemsRAGRetrieval-augmented generationKnowledge graphsDeep learningData mining

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn