9 hours ago

Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Build AI algorithms for e-commerce governance within the Governance and Experience Algorithm team. You will develop and optimize models for risk/violation/low-quality detection across products, cart videos, and live commerce, including fraud detection, deduplication/clustering, and large-model fine-tuning (CoT/alignment). Work on NLP, vision, multimodal, search, graph learning, and large-scale graph platforms to improve audit quality and platform safety.

Location: Seattle

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Identify and build algorithms to detect risk, violations, and low-quality issues in e-commerce scenarios (products, shopping cart short videos, and live streaming).
•Mine and develop detection algorithms for fraudulent behaviors and to identify risky, violated, or low-quality merchants and creators.
•Optimize algorithms for large-scale brand libraries, products, and content deduplication/clustering.
•Construct data and perform instruction fine-tuning, CoT, alignment, and related work for large models in the e-commerce domain.
•Explore reinforcement learning and operational research for intelligent dispatching and audit scheduling to improve audit quality and efficiency.

Key Requirements

•Bachelor’s degree or above in computer science or a related field.
•Strong coding skills and ability to develop in a Linux environment, with proficiency in Python, Go, or C++.
•Solid foundation in data structures/algorithms and practical experience with machine learning/deep learning.
•Familiar with 1–2 areas spanning natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM.
•Excellent analytical and problem-solving skills, with strong communication and teamwork.

Experience:E-commercePlatform governanceRisk controlContent securityInternet

Education:Bachelor's in computer science or related field

Skills:AnalyticalProblem-solvingTeamworkCommunicationCollaboration

Languages:English

Tech Stack:PythonGoC++Linux

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

9 hours ago

Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Seattle

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Identify and build algorithms to detect risk, violations, and low-quality issues in e-commerce scenarios (products, shopping cart short videos, and live streaming).
•Mine and develop detection algorithms for fraudulent behaviors and to identify risky, violated, or low-quality merchants and creators.
•Optimize algorithms for large-scale brand libraries, products, and content deduplication/clustering.
•Construct data and perform instruction fine-tuning, CoT, alignment, and related work for large models in the e-commerce domain.
•Explore reinforcement learning and operational research for intelligent dispatching and audit scheduling to improve audit quality and efficiency.

Key Requirements

•Bachelor’s degree or above in computer science or a related field.
•Strong coding skills and ability to develop in a Linux environment, with proficiency in Python, Go, or C++.
•Solid foundation in data structures/algorithms and practical experience with machine learning/deep learning.
•Familiar with 1–2 areas spanning natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM.
•Excellent analytical and problem-solving skills, with strong communication and teamwork.

Experience:E-commercePlatform governanceRisk controlContent securityInternet

Education:Bachelor's in computer science or related field

Skills:AnalyticalProblem-solvingTeamworkCommunicationCollaboration

Languages:English

Tech Stack:PythonGoC++Linux

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn