Machine Learning Engineer / Sr Machine Learning Engineer, E-Commerce Governance - USDS

$136,800 - $359,720/Yr

Tiktok - Mountain View, CA

Full-time - Mid Level

Mountain View, CA

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, self-expression, and entertainment. The teams within USDS, including Trust & Safety, Security & Privacy, Engineering, User & Product Ops, and Corporate Functions, work diligently to uphold this commitment every day. Joining TikTok means being part of a team that values creativity and collaboration. We believe that every challenge is an opportunity for learning, innovation, and growth. Our culture encourages courage and a refusal to accept the status quo. Together, we strive to inspire creativity and bring joy, impacting our company and the communities we serve. The Governance and Experience Algorithm team is dedicated to supporting various businesses with advanced AI technology, focusing on combating risks and violations in e-commerce scenarios and building a healthy e-commerce ecosystem. This role involves identifying algorithms for risk detection, optimizing algorithms for large-scale brand libraries, and exploring reinforcement learning to improve audit quality and efficiency in e-commerce settings.

Responsibilities

• Identifying algorithms for risk, violation, and 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.
• Conducting data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain to optimize effects.
• Exploring reinforcement learning and operational research algorithms in intelligent dispatching and audit scheduling to enhance audit quality and efficiency.
• Optimizing various basic algorithms such as NLP, vision, multimodal, search, graph, and LLM to support governance business and apply cutting-edge technologies to e-commerce scenarios.
• Streamlining the optimization and iteration process for computer vision models in e-commerce, including fine-grained classification of product images and logo detection.
• Optimizing video classification, multimodal content mining, and understanding of e-commerce short videos and live broadcasts.
• Optimizing risk identification models related to text content in e-commerce scenarios, such as product copywriting and voice descriptions.
• Optimizing risk mining algorithms for comments and reports related to products and short videos, improving platform governance effects.
• Researching large-scale multimodal algorithms and their implementation in e-commerce scenarios.
• Extracting extensive data from various entities, including content in e-commerce live broadcasts, products, merchants, and influencers.

Requirements

• Bachelor's degree or above in computer science or a related field.
• Solid coding skills with the ability to develop in a Linux environment, proficient in Python, Go, or C++.
• Strong foundation in data structures and algorithms, proficient in machine learning and deep learning theory, with rich practical experience.
• Familiarity 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, with a passion for 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.

Nice-to-haves

• Experience with large-scale data processing and analysis.
• Familiarity with cloud computing platforms and services.
• Knowledge of data privacy regulations and compliance standards.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents, and a 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 for healthcare and dependent care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 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.