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TikTok

Short-form video platform with ads

Machine Learning Engineer - Computer Vision/Natural Language Processing/Multimodal/Large Language Models, E-commerce Governance

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • A bachelor's degree or above in computer science or a related field.
  • Strong coding skills, ability to develop in a Linux environment, and proficiency in Python, Go, or C++.
  • A solid foundation in data structures and algorithms, proficiency in machine learning and deep learning theory, and substantial practical experience.
  • Familiarity with one or two areas among natural language processing, computer vision, multimodal systems, graph algorithms, search algorithms, text and data mining, and large language models.
  • Fluent English listening, speaking, reading, and writing skills are preferred.

Responsibilities

  • Identify algorithms for risk, violation, and low-quality issues in e-commerce scenarios such as products, shopping-cart short videos, and live streams with products.
  • Develop algorithms to mine and identify fraudulent behavior and risky, violating, or low-quality merchants and creators.
  • Optimize algorithms for large-scale brand libraries, products, and content deduplication and clustering.
  • Build data and perform instruction fine-tuning, chain-of-thought, alignment, and related work for large language models in the e-commerce domain, optimizing their effectiveness in that domain.
  • Explore reinforcement learning and operations research algorithms for intelligent dispatch and audit scheduling to improve audit quality and efficiency.
  • Optimize foundational algorithms in natural language processing, computer vision, multimodal systems, search, graph learning, and large language models for governance use cases; explore emerging technologies and apply them to e-commerce.
  • Improve computer vision model optimization and iteration in e-commerce, including fine-grained product-image classification, product object and subject recognition, feature extraction, logo detection, and brand recognition.
  • Optimize video classification, multimodal content mining, and multimodal understanding for e-commerce short videos and live broadcasts to improve the shopping experience.
  • Optimize risk-identification models for e-commerce text content, including product copy, text in images, and voice descriptions.
  • Improve risk-mining algorithms for product, short-video, and live-stream comments, reports, and other public-opinion content to strengthen platform governance.
  • Research and implement large-scale multimodal algorithms involving vision, speech, and natural language in e-commerce scenarios.
  • Extract data from e-commerce entities such as live-stream content, products, merchants, and influencers, and model large-scale networks to support content understanding, multimodal representation, and community-mining use cases.
  • Participate in building a large-scale graph storage and graph-learning platform that supports graph learning across billions of nodes and edges.

Desired Qualifications

  • Experience in platform governance, auditing, risk control, content security, or overseas internet or e-commerce business.
  • Experience studying, working, or living overseas.

About the Company

TikTok

Short-form video platform with ads

TikTok is a short-form mobile video platform that lets people create, discover, and share quick videos. Users upload vertical clips, edit them with built-in tools, and browse a personalized feed powered by an algorithm that highlights relevant content. Advertisers can use in-feed ads, branded hashtags, and the Business Center to plan and measure campaigns, making it easy for brands to reach a global audience. Its goal is to inspire creativity and bring joy by helping people express themselves and by connecting brands with a wide audience.

Company size
10,001+
Company stage
Grant
Total funding
$740K
Headquarters
Santa Monica, CA
Founded
2016

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