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

TikTok, Seattle, Washington

TikTok has this job in 1 other place

San Jose, California, United States of America

The team

The Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology：

Combat any kinds of risks/violations issues in E-commerce scenarios.
Build an E-commerce ecosystem and improve platform service capabilities

What you will do

Responsibilities

Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products.
Responsible for mining and identifying algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators.
Responsible for optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering.
Responsible for data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization in the e-commerce domain.
Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.

What You Will Do

Optimize various basic algorithms such as NLP, vision, multimodal, search, graph, LLM, etc. to provide support for governance business, explore cutting-edge technologies, and apply them to e-commerce business scenarios.
Streamline the optimization and iteration process for computer vision models in e-commerce settings, including fine-grained classification of product images, product object recognition, product subject recognition, feature extraction, logo detection, brand recognition, etc.
Optimize video classification, multimodal content mining, and multimodal content understanding of e-commerce short videos and live broadcasts, and optimize the e-commerce short video shopping experience.
Optimize the risk identification model related to text content in e-commerce scenarios, such as product copywriting, picture text, and voice descriptions.
Optimize the risk mining algorithm for comments, reports, and other public opinion content related to products/short videos/live broadcasts, and improve the platform governance effect.
Responsible for the research of large-scale multimodal (vision, speech, natural language, etc.) algorithms and their implementation in e-commerce scenarios.
Extract extensive data from various entities, such as content in e-commerce live broadcasts, products, merchants, and influencers. Model large-scale networks to support business scenarios like content understanding, multimodal representation, and community mining for problem-solving purposes.
Participate in the construction of a large-scale graph storage and graph learning platform, supporting the basic ability of graph learning with billions of nodes and edges.

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

The team

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

The team

What you will do

Responsibilities

What You Will Do

What you need

Interview questions

TikTok