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

TikTok
Seattle, Washington

About the job

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

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.

Qualifications

Minimum

Bachelor's degree or above in computer science or related field

Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++

Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience

Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM

Excellent analytical and problem-solving skills, passionate about challenging problems

Good team spirit and strong communication skills

Preferred

Experience in platform governance/audit/risk control/content security or overseas internet/e-commerce business is preferred

Experience studying, working, or living overseas is preferred.