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

$184,300 - $337,250/Yr

Tiktok - Seattle, WA

Full-time - Senior

Seattle, WA

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

About the position

As a Senior Machine Learning Engineer specializing in Computer Vision (CV), Natural Language Processing (NLP), Multimodal Learning, and Large Language Models (LLM) at TikTok, you will play a pivotal role in enhancing the governance and experience algorithms that support our e-commerce platform. Your primary focus will be on developing and optimizing algorithms that address risks, violations, and low-quality issues within e-commerce scenarios, including product listings, shopping cart videos, and live streaming content. You will be responsible for identifying and implementing advanced algorithms to detect fraudulent behaviors and assess the quality of merchants and creators on our platform. In this role, you will also engage in data construction and fine-tuning of large models tailored for the e-commerce domain, ensuring that our algorithms are not only effective but also optimized for performance. You will explore innovative approaches such as reinforcement learning and operational research to enhance audit quality and efficiency in intelligent dispatching and scheduling. Your work will directly contribute to building a healthier e-commerce ecosystem and improving our platform's service capabilities. You will be tasked with optimizing various foundational algorithms, including those related to NLP, vision, multimodal processing, search, graph algorithms, and LLMs, to support governance business needs. This includes streamlining the optimization process for computer vision models, enhancing video classification, and improving the risk identification models related to text content in e-commerce scenarios. Your expertise will be crucial in extracting and modeling extensive data from diverse entities, thereby supporting business scenarios like content understanding and community mining. Additionally, you will participate in the construction of a large-scale graph storage and learning platform, which will support graph learning capabilities with billions of nodes and edges. This position offers a unique opportunity to work at the intersection of cutting-edge AI technology and e-commerce, driving impactful changes in how we govern and enhance user experiences on our platform.

Responsibilities

• Identify algorithms for risk, violation, and low-quality issues in e-commerce scenarios.
• Detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators.
• Optimize algorithms for large-scale brand libraries, product deduplication, and clustering.
• Conduct data construction, instruction fine-tuning, and alignment for large models in the e-commerce domain.
• Explore reinforcement learning and operational research algorithms to improve audit quality and efficiency.
• Optimize various basic algorithms such as NLP, vision, multimodal, search, graph, and LLM for governance business.
• Streamline optimization processes for computer vision models in e-commerce settings.
• Enhance video classification and multimodal content understanding for e-commerce short videos and live broadcasts.
• Optimize risk identification models related to text content in e-commerce scenarios.
• Improve risk mining algorithms for comments and reports related to products and short videos.
• Research large-scale multimodal algorithms and their implementation in e-commerce scenarios.
• Extract extensive data from e-commerce live broadcasts, products, merchants, and influencers.
• Participate in the construction of a large-scale graph storage and learning platform.

Requirements

• Bachelor's degree or above in computer science or related field.
• Solid coding skills with proficiency in Python, Go, or C++ in a Linux environment.
• Strong foundation in data structures and algorithms, with practical experience in machine learning and deep learning.
• 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.

Nice-to-haves

• Experience in platform governance, audit, risk control, or content security in e-commerce.
• Fluent English listening, speaking, reading, and writing skills.
• Experience studying, working, or living overseas.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents.
• Health Savings Account (HSA) with 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).
• 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.