Senior Machine Learning Engineer (CV/NLP/Multimodal/LLM/Agent)-E-Commerce Government

TikTok
Seattle, Washington

About the job

The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the commerce channel of choice for merchants, creators, and affiliates. We are looking for passionate and talented people to join our product and operations team, to build an e-commerce ecosystem that is innovative, secure and intuitive for our users and brands.

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.

Responsible the research and development of multi-agent tools, models, engines, and platforms to enhance automatic planning, generalized decision-making, and multimodal interaction capabilities in e-commerce scenarios. Deliver Agent-based solutions to address problems beyond the reach of existing methods and models, identify capability gaps in current models, and feed insights from real-world applications back into foundational model iteration.

Drive performance and stability optimization of Agent Systems, including but not limited to system resource utilization, environment interaction latency, and overall cost efficiency. Abstract and generalize capabilities from business requirements, define the platform roadmap, and build a stable, reliable Agent infrastructure.

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

Preferred

Excellent analytical and problem-solving skills, passionate about challenging problems - Good team spirit and strong communication skills

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