Sr Machine Learning Engineer, E-Commerce Governance - USDS

$177,688 - $341,700/Yr

Tiktok - Seattle, WA

Full-time - Mid Level

Seattle, WA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S., created to enhance focus and governance on our data protection policies and content assurance protocols to ensure the safety of U.S. users. Our commitment is to provide oversight and protection of the TikTok platform and U.S. user data, allowing millions of Americans to continue using TikTok for learning, earning, creative expression, and entertainment. The teams within USDS that deliver on this commitment span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions, and more. The Governance and Experience Algorithm team, established in September 2020, supports various businesses with advanced AI technology to combat risks and violations in e-commerce scenarios and to build a healthy e-commerce ecosystem while improving platform service capabilities. As a Senior Machine Learning Engineer, you will play a crucial role in identifying algorithms for risk and violation issues in e-commerce, mining algorithms to detect fraudulent behaviors, and optimizing algorithms for large-scale brand libraries and content deduplication. You will also be involved in data construction and fine-tuning for large models in the e-commerce domain, aiming for ultimate effect optimization. In this role, you will optimize various algorithms such as NLP, vision, multimodal, search, graph, and LLM to support governance business, explore cutting-edge technologies, and apply them to e-commerce scenarios. You will streamline the optimization process for computer vision models, enhance video classification and multimodal content understanding, and improve risk identification models related to text content in e-commerce. Your responsibilities will also include researching large-scale multimodal algorithms and extracting extensive data from various entities in the e-commerce landscape.

Responsibilities

• Identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products.
• Mining and identifying algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators.
• Optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering.
• Data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization.
• Exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.
• Optimizing various basic algorithms such as NLP, vision, multimodal, search, graph, LLM, etc. to provide support for governance business.
• Streamlining 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.
• Optimizing video classification, multimodal content mining, and multimodal content understanding of e-commerce short videos and live broadcasts, and optimizing the e-commerce short video shopping experience.
• Optimizing the risk identification model related to text content in e-commerce scenarios, such as product copywriting, picture text, and voice descriptions.
• Optimizing the risk mining algorithm for comments, reports, and other public opinion content related to products/short videos/live broadcasts, and improving 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.
• Extracting extensive data from various entities, such as content in e-commerce live broadcasts, products, merchants, and influencers.

Requirements

• 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.

Nice-to-haves

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

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure).
• 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match.
• Gym and cellphone service reimbursements.