Free tech roles from public ATS boards. No account required.
The Search team builds the systems that help users find relevant, reliable, and engaging content across TikTok. The team works across search retrieval, ranking, recommendation signals, query understanding, relevance, infrastructure, and product experiences. Our work combines large-scale machine learning, data-driven product development, and distributed systems to improve search quality for a globa
About the Team Our team is responsible for the search algorithm for our rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly users around the world. Our mission i
E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-commerce Recommendation and Search Infra team is responsible for building up and optimizing the infrastructure for such recommendation and search systems, so as to provide the b
About the Team The E-Commerce Risk Control (ECRC) team is missioned: - To protect E-Commerce users, including and beyond buyer, seller, creator; - By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform; - Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.
Our Live Recommendation Architecture Team is responsible for building up and optimizing the architecture for live broadcast recommendation system to provide the most stable and best experience for our users. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building
About the Team We are the User Growth Algorithm Team for Global E-Commerce — the core engine driving the explosive growth of TikTok's global e-commerce business. Here, we go beyond solving conventional recommendation and user reach problems; we are committed to reshaping the shopping experience of global consumers through cutting-edge promotion algorithms. As the Promotion Algorithm Team, we comm
About the Team Our team is responsible for the search algorithm for our rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly users around the world. Our mission i
Team Introduction Our team is building an intelligent and automated AI Model Operations framework to continuously improve the quality, efficiency, and scalability of Auto Moderation systems. By combining policy operationalization, Data driven insights, model strategy optimization, and AI-powered automation, we enable machine learning models to deliver accurate and consistent moderation decisions a
About the Team We build the next-generation unified Agent system for TikTok's global e-commerce customer service — running in 30+ languages across one of the largest e-commerce surfaces on the internet. Our north star is a self-evolving Agent, where post-training, harness, memory / context engineering, tools, and evaluation form one closed loop, and every served conversation becomes the next itera
About the Team Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven. We are looking for talented individuals to join u
TikTok is a world-leading short-video and live streaming platform serving hundreds of millions of users globally. By joining the BRIC (Business Risk Integrity Control) team, you will work in one of the industry's most challenging risk environments, where massive scale, high concurrency, evolving abuse patterns and global adversarial ecosystems continuously reshape the landscape. You will build th
The Search team builds the systems that help users find relevant, reliable, and engaging content across TikTok. The team works across search retrieval, ranking, recommendation signals, query understanding, relevance, infrastructure, and product experiences. Our work combines large-scale machine learning, data-driven product development, and distributed systems to improve search quality for a globa
Team Introduction TikTok Design Team is to provide first-class user experience for hundreds of millions of users around the world, thereby helping them create and express better, discover the diversity and beauty of the world, break down more barriers, and build bridges between people. We are an international design team with Product Designer, Creative Designer, Visual Designer, Content Designer a
Our Search Team is responsible for building and owning our search engine which provides our users the best search experience. On the Search Team, you'll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a c
Our Team is responsible for the design and development of the Recommendation and Search system architecture for TikTok. It ensures the stability and high availability of the system, optimizes the performance of online services and offline data streams, resolves system bottlenecks, and reduces cost overheads. The team also abstracts the common components and services of the system, builds the recom
The Search team builds the systems that help users find relevant, reliable, and engaging content across TikTok. The team works across search retrieval, ranking, recommendation signals, query understanding, relevance, infrastructure, and product experiences. Our work combines large-scale machine learning, data-driven product development, and distributed systems to improve search quality for a globa
Our Search Architecture Team is responsible for building up and optimizing the architecture for our Search Engine to provide the best experience for our TikTok Search users. This person will be responsible for the design and development of the search system architecture, ensuring system stability and high availability; responsible for online services, offline data flow performance optimization, so
The Search team builds the systems that help users find relevant, reliable, and engaging content across TikTok. The team works across search retrieval, ranking, recommendation signals, query understanding, relevance, infrastructure, and product experiences. Our work combines large-scale machine learning, data-driven product development, and distributed systems to improve search quality for a globa
About the Team We are part of the Global E-commerce Algorithm team, building multimodal content understanding, product understanding, semantic matching, pricing intelligence, and intelligent Agent capabilities for global content-commerce scenarios. Leveraging our massive-scale video content and global product data, we explore NLP, CV, Multimodal LLMs, Video LLMs, Multimodal Embedding & SID, Multim
Our Search Team is responsible for building and owning our search engine which provides our users the best search experience. On the Search Team, you'll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a c
The Search team builds the systems that help users find relevant, reliable, and engaging content across TikTok. The team works across search retrieval, ranking, recommendation signals, query understanding, relevance, infrastructure, and product experiences. Our work combines large-scale machine learning, data-driven product development, and distributed systems to improve search quality for a globa
Our Search Team is responsible for building and owning our search engine which provides our users the best search experience. On the Search Team, you'll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a c
About the Team The team use the most advanced AI technology to combat various risks/violations in our E-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas w
The Recommendation Architecture Team is responsible for designing and developing next-generation recommendation system architectures across multiple products within the company. We ensure system stability and high availability, optimize performance for online services and offline data pipelines, address system bottlenecks, and reduce operational costs. We also abstract reusable system components a
E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-commerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the best experience for our
About the Team The E-commerce Recommendation Foundation team is dedicated to building the next-generation recommendation intelligence. We aim to develop a unified Foundation Model that supports multi-business and multi-scenario recommendation systems, covering the full pipeline from retrieval and ranking to re-ranking, and driving a comprehensive upgrade in intelligence and generative capability.
About the Team The E-Commerce Risk Control (ECRC) team is missioned: - To protect E-Commerce users, including and beyond buyer, seller, creator; - By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform; - Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.