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

$137,750 - $237,500/Yr

Tiktok - Seattle, WA

Full-time - Mid Level

Seattle, WA

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

About the position

As a Machine Learning Engineer specializing in Computer Vision (CV), Natural Language Processing (NLP), Multimodal, 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 responsibility will be to develop and optimize 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 work closely with a team dedicated to building a healthy e-commerce ecosystem and improving platform service capabilities through advanced AI technology. In this role, you will be tasked with identifying and implementing algorithms that detect fraudulent behaviors and assess the quality of merchants and creators. You will also focus on optimizing algorithms for large-scale brand libraries and content deduplication, ensuring that our e-commerce offerings are both safe and high-quality. Your work will involve data construction, instruction fine-tuning, and the application of reinforcement learning and operational research algorithms to enhance audit quality and efficiency. You will have the opportunity to optimize 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 risk identification models related to text content in e-commerce scenarios. Additionally, you will engage in research and implementation of large-scale multimodal algorithms, extracting data from diverse entities to support business scenarios such as content understanding and community mining. Your contributions will be crucial in constructing a large-scale graph storage and learning platform, which will support the foundational capabilities of graph learning with billions of nodes and edges. This position offers a unique opportunity to work at the intersection of cutting-edge 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.
• Mine and identify algorithms to detect fraudulent behaviors and assess risky or low-quality merchants and creators.
• Optimize algorithms for large-scale brand libraries and content deduplication/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 algorithms such as NLP, vision, multimodal, search, graph, and LLM to support 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 various entities to support business scenarios like content understanding and community mining.
• 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 theory.
• 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, or content security in e-commerce is preferred.
• Fluent English listening, speaking, reading, and writing skills are preferred.
• Experience studying, working, or living overseas is preferred.

Nice-to-haves

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

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.