共 18 个在招岗位 · 覆盖国企、大厂官方招聘
• Monitor, interpret, and analyze compliance requirements, regulatory developments, and industry standards related to models and data across global markets, including Europe, North America, and Southeast Asia. • Partner with business, product, legal, and technical teams to identify compliance risks, develop practical mitigation strategies, and support the implementation of compliance controls. • Research and assess global trends in policy, technology, industry ecosystems, and international standards related to model and data governance. • Engage with international standards organizations and overseas regulatory authorities to build and maintain regular communication channels. • Develop global compliance and international standardization strategies, including designing a cohesive compliance framework and establishing global baseline requirements for compliance, security, and risk management.
About the Team: The Search team is dedicated to building a fully managed, one-stop platform for information retrieval and analytics. Deeply compatible with Elasticsearch, OpenSearch, and Milvus, the platform serves four core scenarios—GenAI applications, search, security, and observability—and provides comprehensive capabilities across full-text search, vector search, geospatial search, and hybrid search. We are also building next-generation Agentic Search products, including RAG, AI-powered search, and multimodal retrieval, continuously pushing the boundaries of intelligent search technology. We are deeply involved in the open-source ecosystem and have contributed hundreds of PRs across the OpenSearch, Elasticsearch, Lucene, and Milvus communities. Several members of our team hold key leadership roles in these communities, including Governing Board Member, Technical Steering Committee Member, PMC Member, and Maintainer, helping shape the evolution of the broader search and database ecosystem through sustained technical contributions. On the business side, we not only provide reliable infrastructure for some of ByteDance’s largest-scale vector and full-text hybrid search workloads, but also deliver enterprise-grade cloud search services to external customers through Volcano Engine, helping businesses unlock growth through data. We embrace a pragmatic yet ambitious engineering culture: while continuously publishing innovative research at top-tier conferences such as VLDB and ICDE, we remain strongly focused on real-world impact and commercial adoption, building a comprehensive product portfolio that serves a wide range of search and AI use cases. Our team brings together leading database researchers and exceptional engineers from around the world. We are looking for talented individuals with expertise in search or vector database engine development, distributed systems architecture, or AI model innovation to join us. Together, we will explore uncharted technical territory, define the data foundation for the AI era, and empower both ByteDance and enterprises across industries to achieve AI-driven transformation. Responsibilities - Build Agentic Search and Analytics systems that combine planning, retrieval, reasoning, tool execution, and iterative agentic loops. - Develop multi-source and multimodal search across structured data, documents, images, audio, and video. - Build a unified semantic layer for heterogeneous enterprise data, including entities, metrics, metadata, and relationships. - Explore semantic accumulation and self-evolving agents that continuously improve through interactions, feedback, memory, and historical executions.
About the Team: The Search team is dedicated to building a fully managed, one-stop platform for information retrieval and analytics. Deeply compatible with Elasticsearch, OpenSearch, and Milvus, the platform serves four core scenarios—GenAI applications, search, security, and observability—and provides comprehensive capabilities across full-text search, vector search, geospatial search, and hybrid search. We are also building next-generation Agentic Search products, including RAG, AI-powered search, and multimodal retrieval, continuously pushing the boundaries of intelligent search technology. We are deeply involved in the open-source ecosystem and have contributed hundreds of PRs across the OpenSearch, Elasticsearch, Lucene, and Milvus communities. Several members of our team hold key leadership roles in these communities, including Governing Board Member, Technical Steering Committee Member, PMC Member, and Maintainer, helping shape the evolution of the broader search and database ecosystem through sustained technical contributions. On the business side, we not only provide reliable infrastructure for some of ByteDance’s largest-scale vector and full-text hybrid search workloads, but also deliver enterprise-grade cloud search services to external customers through Volcano Engine, helping businesses unlock growth through data. We embrace a pragmatic yet ambitious engineering culture: while continuously publishing innovative research at top-tier conferences such as VLDB and ICDE, we remain strongly focused on real-world impact and commercial adoption, building a comprehensive product portfolio that serves a wide range of search and AI use cases. Our team brings together leading database researchers and exceptional engineers from around the world. We are looking for talented individuals with expertise in search or vector database engine development, distributed systems architecture, or AI model innovation to join us. Together, we will explore uncharted technical territory, define the data foundation for the AI era, and empower both ByteDance and enterprises across industries to achieve AI-driven transformation. Responsibilities - Build Agentic Search and Analytics systems that combine planning, retrieval, reasoning, tool execution, and iterative agentic loops. - Develop multi-source and multimodal search across structured data, documents, images, audio, and video. - Build a unified semantic layer for heterogeneous enterprise data, including entities, metrics, metadata, and relationships. - Explore semantic accumulation and self-evolving agents that continuously improve through interactions, feedback, memory, and historical executions.
About the Team: The Search team is dedicated to building a fully managed, one-stop platform for information retrieval and analytics. Deeply compatible with Elasticsearch, OpenSearch, and Milvus, the platform serves four core scenarios—GenAI applications, search, security, and observability—and provides comprehensive capabilities across full-text search, vector search, geospatial search, and hybrid search. We are also building next-generation Agentic Search products, including RAG, AI-powered search, and multimodal retrieval, continuously pushing the boundaries of intelligent search technology. We are deeply involved in the open-source ecosystem and have contributed hundreds of PRs across the OpenSearch, Elasticsearch, Lucene, and Milvus communities. Several members of our team hold key leadership roles in these communities, including Governing Board Member, Technical Steering Committee Member, PMC Member, and Maintainer, helping shape the evolution of the broader search and database ecosystem through sustained technical contributions. On the business side, we not only provide reliable infrastructure for some of ByteDance’s largest-scale vector and full-text hybrid search workloads, but also deliver enterprise-grade cloud search services to external customers through Volcano Engine, helping businesses unlock growth through data. We embrace a pragmatic yet ambitious engineering culture: while continuously publishing innovative research at top-tier conferences such as VLDB and ICDE, we remain strongly focused on real-world impact and commercial adoption, building a comprehensive product portfolio that serves a wide range of search and AI use cases. Our team brings together leading database researchers and exceptional engineers from around the world. We are looking for talented individuals with expertise in search or vector database engine development, distributed systems architecture, or AI model innovation to join us. Together, we will explore uncharted technical territory, define the data foundation for the AI era, and empower both ByteDance and enterprises across industries to achieve AI-driven transformation. Responsibilities - Develop and evolve our Elasticsearch/OpenSearch and Milvus products, building high-performance and scalable search and vector retrieval capabilities. - Develop high-performance full-text and vector search, including hybrid search, filtered search, multi-vector search, and large-scale ANN retrieval. - Optimize vector indexing and distributed retrieval across HNSW, IVF, DiskANN, RaBitQ, storage, caching, and I/O. - Explore cloud-native Vector Lakebase architectures for scalable search over data lakes and object storage.
The Arch-Global E-Commerce team develops large-scale recommendation, matching, and ranking algorithms for creator-commerce platforms, supports multiple teams such as Creator Marketplace, Creator Shop, and TikTok consumer experiences. We leverage machine learning and data-driven optimization to connect sellers, creators, and products more effectively, increase content-commerce supply, and accelerate e-commerce GMV growth. You will own the overall algorithm infrastructure roadmap for Creator Agent. Work in close partnership with the algorithm team to ensure cutting-edge agent capabilities can be delivered to the creator business. Responsibilities: 1. Lead the architectural development of core Agent algorithm capabilities, including but not limited to: - Agent orchestration framework: Build agent orchestration capabilities supporting complex business logic, based on LangGraph or in-house frameworks. - Agentic Search: Build intelligent retrieval architecture tailored to creator scenarios, enabling the Agent to proactively and iteratively gather information from product, creator, and content corpora. - Hierarchical memory systems: Design short-term, long-term, and episodic memory mechanisms, providing the algorithm team with foundational capabilities for personalized creator understanding. - Algorithm tuning infrastructure: Provide efficient training, evaluation, and iteration infrastructure for Agent RL, Memory RL, SFT, and additional frontier optimization directions (see below). 2. Continuously track and bring frontier Agent optimization directions into the team, including but not limited to: - Test-time / inference-time optimization (self-refine, reflection, tree search, process reward model–guided reasoning, etc.); - Tool use optimization (tool-use SFT, tool-use trajectory RL, tool selection optimization); - Multi-agent collaboration and deliberation; - Automated prompt / workflow optimization (e.g., DSPy, TextGrad — "gradient-style" optimization of prompts and workflows); - Agent distillation into smaller, more efficient models; - Agent evaluation and reward modeling (LLM-as-Judge, PRMs, Agent benchmark design, etc.); 3. And, based on team and business realities, judge which directions are worth investing in and translate them into team capabilities. 4. Track the latest Agent architectures from OpenAI, Anthropic, and others, and adapt them deeply to our creator business. 5. Partner deeply with the Algorithm team — understands the real needs of algorithm iteration, and ensures that algorithm infrastructure accelerates rather than bottlenecks algorithmic innovation. 6. Develop deep understanding of creators as a B2B user group; translate business insights into algorithm infrastructure decisions.
About the Team ByteDance Networking brings together innovative ideas and technologies from network architecture, software-defined networking (SDN), network virtualization, switch software and hardware co-design, and high-speed networking, to create hyperscale data-center networking solutions that power several of the most popular apps of the world such as Douyin and TikTok which serve hundreds of millions of users around the globe. ByteDance Networking is responsible for designing, building, and operating the global, intelligent network infrastructure to meet the requirements of high availability, scalability, and high-performance. By joining this team, you will gain marketable software development and/or network operation experiences in data center networking at massive scale. Responsibilities - Design, build, operate and optimize ByteDance's global network, including backbone, data center, public cloud and Edge/CDN. - Work with cross-functional teams including but not limited to compute, storage, database, recommendation system, drive the innovation and evolution of ByteDance network. - Work with external vendors and ISPs for device and carrier selection, perform testing and verification. - Travel may be required up to 15% - 30% of the time.
Team Information: The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. Responsibilities - Conduct research and development on large-scale LLM training infrastructure and efficiency - Design and optimize distributed training strategies for LLMs, including parallelism schemes, computation and communication optimization, and throughput scaling on large GPU clusters - Investigate system reliability and resilience techniques, such as fast checkpointing, fault tolerance, and failure diagnosis for long-running training workloads - Research and optimize network, scheduling, and GPU memory management across the training stack, driving cross-layer performance improvements - Analyze performance bottlenecks in exascale training systems and propose principled, data-driven optimization methods - Bridge cutting-edge research and large-scale production deployment by translating research ideas into scalable, real-world AI infrastructure solutions
The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. Responsibilities - Design, implement, and optimize high-performance GPU kernels for large-scale LLM/VLM inference workloads, including attention, GEMM, and other compute- and memory-intensive operators. - Develop and tune inference kernels in CUDA and Triton, and drive end-to-end performance optimization of production inference systems at scale. - Conduct in-depth performance analysis and profiling to identify bottlenecks across the inference stack, from kernel level to serving level. - Collaborate with research and infrastructure teams to land kernel- and compiler-level optimizations in production inference systems.
Our Infrastructure Engineering team supports the company's fast growth by building and operating hyper-scale datacenters, managing the life cycle of server fleet, providing cloud solutions, and developing various infrastructure services and making sure they are scalable and are reliable. We have three subgroups for this role: - Cloud Host Delivery, Delivery & Standardization - Cloud Host Operation, Operation Efficiency & Reliability - Cloud Management & Security Responsibilities - What You'll Do - Design, build, scale, and operate ByteDance’s global infrastructure, including large-scale systems spanning public and private clouds. - Develop tools, automation frameworks, visualizations, and monitoring systems to streamline operations and drive optimization of global infrastructure. - Create, manage, and standardize cloud AMIs/images for use across multiple environments, ensuring strict alignment with the company's global compliance standards. - Thrive in a fast-paced environment, engaging in technical operations and on-call rotations to address incidents related to cloud, OS, network, performance, and reliability. - Drive improvements across the entire infrastructure lifecycle, from ideation and design through development, deployment, user support, and continuous refinement.
Data Center Development department is responsible for supporting the company's fast growth by sourcing and building hyper-scale data centers as well as vastly distributed global edge networks. Our AMS&EU Network Acquisition team focuses on the acquisition of co-locations and various network connectivities from the strategy and commercial angle to support edge and backbone network infrastructure that enable users to interact with our platform with optimal performance in Americas and EMEA region. As we interact with various partners in this industry, we also develop and maintain relationships and strategic partnerships with suppliers. Also, as we develop our acquisition strategy, we conduct market research, manage the potential and existing supplier pool, cost analysis and supplier performance evaluation to build our roadmap for the acquisition effort to support our growth. This role is ideal for someone who is passionate about global infrastructure acquisition with exciting growth opportunities. We are looking for a self-motivated server and storage hardware architect and technology planning expert. As a system architect and technology planning expert, your responsibilities will include: - Securing various infrastructure resources such as co-location and connectivity services (dark fiber, transport network, IP, etc.) from commercial angle to fulfill and support our traffic demand - Lead commercial and technical negotiations with candidate suppliers. - Negotiate and implement complex supplier agreements and contracts working with cross-functional teams to meet the deliverables on milestone dates. - Develop and manage acquisition strategies and tactics for the short, mid and long term. - Cross functional collaboration with various stakeholders, including but not limited to Strategy, Planning, Engineering, Legal, Finance, etc. - Conduct market research, build market intelligence, select and onboard qualified suppliers and manage the supplier lifecycle. - Maintain a sustainable relationship and develop strategic partnerships with suppliers to deliver business goals and objectives.
About the Team ONE Studio, with teams in Shenzhen, Beijing, and Shanghai, oversees the distribution and long-term operation of ByteDance’s self-developed and licensed games in China and abroad. Our portfolio includes titles such as MARVEL SNAP, Ragnarok X: Next Generation, The Legend of Hei Shan, and Core Crystal. By bringing together creative excellence and operational expertise, ONE Studio delivers engaging gaming experiences that inspire joy for players worldwide. - Develop and execute media strategy for PC games and brand-oriented mobile games in the European and North American markets - Manage connections with mainstream gaming media; proactively understand editors’ preferences; tailor communication strategies based on game attributes; conduct targeted pitching to secure more media coverage opportunities. - Strategize collaboration with globally influential gaming exhibitions (especially in Europe and North America); understand the publishing value and costs of exhibitions for the assigned game genres; evaluate ROI; coordinate with vendors to execute respective exhibition participation. - Lead general publishing processes across major gaming platforms (Steam, PlayStation, Xbox, etc.); drive exposure opportunities through business partnerships and platform operations.
About the Team Join ByteDance’s database development team, where you’ll build and own cutting-edge database products supporting ByteDance’s global infrastructure. Our diverse portfolio includes relational databases, distributed caches, key-value stores, document databases, graph databases, wide-column stores, search engines, and multi-model databases. In this role, you’ll have the opportunity to enhance these services in a cloud-native environment, embracing a culture of intellectual curiosity, self-direction, and problem-solving. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving. We are looking for candidates to work in an open, agile, and highly collaborative environment in the following areas: - Database and system administration, including ensuring the reliability and observability of databases in a global large-scale network and efficiently handling user requests. - Providing efficient and stable database platform services, including node scaling, high availability, backup/recovery, and database monitoring. - Disaster recovery and high availability, including global cross-region database disaster recovery solutions, providing efficient and rapid high-availability switching capabilities and data consistency guarantees. Responsibilities - Partner closely with Product Managers (PMs) to develop RDS features (e.g., database operation tickets, backup/restore, scaling, high availability); drive cross-team collaboration to ensure aligned execution and timely delivery of RDS products. - Design and develop the RDS platform and core components (e.g., database instance management, resource lifecycle management, monitoring & alerting modules, backup/restore systems) based on business scenarios and user demands; implement high-performance, reliable, and secure database service capabilities, including but not limited to automated deployment, elastic scaling, fault self-healing, and data consistency guarantees; and enhance system scalability to support millions of database instances and high concurrent access. - Conduct performance and scalability tests and research innovative ideas for improvement. - Design and implement comprehensive unit, functional and system-test for product quality. - Participate in the release and deployment process. - Solve unique, large-scale, highly complex cloud infrastructure problems.
About the Team The ByteDance DPU (Data Processing Unit) team is building the foundational computing infrastructure for ByteDance and Volcano Engine Public Cloud. Our mission is to advance the architecture, development, and research of next-generation software-hardware technologies across compute, networking, and storage for cloud and AI computing. Our technology stack spans - Cloud virtualization & hypervisors - High-performance user-space network protocols (DPDK, RDMA, etc.) - High-speed interconnect and virtual switching - Distributed storage acceleration - GPU virtualization and scheduling for AI/ML workloads We work at the intersection of software systems, distributed infrastructure, and custom hardware acceleration, shaping the next wave of cloud-scale computing. Responsibilities - Design and develop DPU network software with a focus on high performance, low latency, and reliability. - Collaborate with hardware teams to build software-hardware co-design solutions for networking and storage acceleration. - Explore AI/ML infrastructure acceleration, leveraging DPUs, GPUs, and custom hardware to optimize distributed training and inference. - Drive end-to-end performance optimization, from OS kernels and drivers to user-space runtime systems. - Contribute to architecture design, technical proposals, and long-term research directions.
About the Team The ByteDance DPU (Data Processing Unit) team is building the foundational computing infrastructure for ByteDance and Volcano Engine Public Cloud. Our mission is to advance the architecture, development, and research of next-generation software-hardware technologies across compute, networking, and storage for cloud and AI computing. Our technology stack spans - Cloud virtualization & hypervisors - High-performance user-space network protocols (DPDK, RDMA, etc.) - High-speed interconnect and virtual switching - Distributed storage acceleration - GPU virtualization and scheduling for AI/ML workloads We work at the intersection of software systems, distributed infrastructure, and custom hardware acceleration, shaping the next wave of cloud-scale computing. Responsibilities - Design and develop DPU network software with a focus on high performance, low latency, and reliability. - Collaborate with hardware teams to build software-hardware co-design solutions for networking and storage acceleration. - Explore AI/ML infrastructure acceleration, leveraging DPUs, GPUs, and custom hardware to optimize distributed training and inference. - Drive end-to-end performance optimization, from OS kernels and drivers to user-space runtime systems. - Contribute to architecture design, technical proposals, and long-term research directions.
About the Team The ByteDance DPU (Data Processing Unit) team is building the foundational computing infrastructure for ByteDance and Volcano Engine Public Cloud. Our mission is to advance the architecture, development, and research of next-generation software-hardware technologies across compute, networking, and storage for cloud and AI computing. Our technology stack spans - Cloud virtualization & hypervisors - High-performance user-space network protocols (DPDK, RDMA, etc.) - High-speed interconnect and virtual switching - Distributed storage acceleration - GPU virtualization and scheduling for AI/ML workloads We work at the intersection of software systems, distributed infrastructure, and custom hardware acceleration, shaping the next wave of cloud-scale computing. Responsibilities - Design and develop DPU network software with a focus on high performance, low latency, and reliability. - Collaborate with hardware teams to build software-hardware co-design solutions for networking and storage acceleration. - Explore AI/ML infrastructure acceleration, leveraging DPUs, GPUs, and custom hardware to optimize distributed training and inference. - Drive end-to-end performance optimization, from OS kernels and drivers to user-space runtime systems. - Contribute to architecture design, technical proposals, and long-term research directions.
To support the fast growth and manage the massive content on the platform, ByteDance's infrastructure team is building hyper-scale data centers globally that host hundreds of thousands of servers. We are looking for a Site Acquisition Manager who will be responsible for leasing and acquiring datacenter capacity primarily in the Americas market. The Datacenter Development team is responsible for site selection, acquisition and delivery. Our team is responsible for the end-to-end commercial activities of our data centers in the US and LATAM, spanning from early due diligence to operational support. As the DC site acquisition manager, you will be responsible for the following: - Gather and evaluate market options, conduct investigations on key resources, devise strategies and eventually secure data center capacities to meet business demand. - Provide commercial aircover to our delivery team to ensure timely delivery of capacity to our businesses. - Work with cross-functional colleagues, such as legal, tax, finance, GR, to make informed recommendations to top management for data center investment, backed by our thorough investigation. - Provide commercial aircover to support operational-related needs. - Conduct energy cost analysis and drive initiatives to optimize the budget structure. - Conduct rightsizing and optimization initiatives as and when required.
About the Team Join ByteDance’s database R&D team, where you’ll build and own cutting-edge database products supporting Bytedance’s global infrastructure. Our diverse portfolio includes relational databases, distributed caches, key-value stores, document databases, graph databases, wide-column stores, search engines, and multi-model databases. In this role, you’ll have the opportunity to enhance these services in a cloud-native environment, embracing a culture of intellectual curiosity, self-direction, and problem-solving. About the Role We are building the next-generation AI-native database systems—intelligent, multimodal, and designed for the era of large models. Our systems are not just data stores; they’re reasoning engines, retrieval platforms, and real-time memory for AI agents. As a Senior Software Engineer or Researcher, you will be at the forefront of rethinking how databases work when built from the ground up for AI workloads. You’ll help create infrastructure that powers intelligent systems across TikTok, CapCut, and future applications that haven’t been imagined yet. Responsibilities - Architect and implement AI-native databases that seamlessly integrate structured, unstructured, and vectorized data. - Design storage engines optimized for embedding ingestion, multimodal retrieval, and real-time AI interaction. - Build scalable and distributed vector search systems with low-latency guarantees. - Develop AI-augmented query processors that leverage large language models (LLMs) for semantic parsing, intent understanding, and cost estimation. - Collaborate on developing retrieval-augmented generation (RAG) infrastructure and LLM agent memory backends. - Drive innovations in learned index structures, self-optimizing databases, and AI-integrated transaction systems. - Publish and contribute to broader research and open-source communities.
About the Team Join ByteDance’s database development team, where you’ll build and own cutting-edge database products supporting ByteDance’s global infrastructure. Our diverse portfolio includes relational databases, distributed caches, key-value stores, document databases, graph databases, wide-column stores, search engines, and multi-model databases. In this role, you’ll have the opportunity to enhance these services in a cloud-native environment, embracing a culture of intellectual curiosity, self-direction, and problem-solving. Responsibilities - Design and develop distributed NoSQL databases, with a focus on one of the following: distributed caches, key-value stores, document databases, graph databases, wide-column stores, search engines, or multi-model databases. - Build high-performance, low-latency, and highly available distributed systems to support mission-critical business operations with scalability and cost efficiency. - Optimize compute and storage engines for cloud-native global deployments, improving efficiency and reducing operational costs. - Provide technical guidance to internal business teams, identifying opportunities for system optimization to improve stability, functionality, and performance. - Collaborate with cross-functional teams to develop robust database products and solutions. - Address technical challenges in cloud service architectures, ensuring scalable solutions for large-scale, high-traffic systems.
