共 32 个在招岗位 · 覆盖国企、大厂官方招聘
As a Finance Business Partner (FBP) for Cloud computing resources, you will be embedded within the Infrastructure Engineering and Strategic Sourcing teams. You will act as the financial architect behind our global compute strategy, balancing hyper-growth AI demands with rigorous cost discipline. You will drive the financial evaluation of massive cloud contracts, lead FinOps initiatives, and ensure that every dollar spent on silicon or cloud credits translates into maximum business value. - Commercial Modeling: Develop complex TCO models to evaluate multi-year cloud commitments across different providers such as AWS (EDP), Azure (MACC), and GCP etc. - Vendor Negotiation: Drive data-led negotiations with hyperscalers and OEMs to optimize unit pricing and volume discounts. -Cost Attribution: Implement robust tagging and metadata strategies to ensure 100% cost transparency across AI training and inference workloads. - Unit Economics: Establish and track efficiency metrics, such as "Cost per 1k Tokens" and "Cost per MAU," to measure stack performance. - FinOps Optimization: Partner with DevOps to maximize commitment coverage (RI/SP) and Spot utilization to reduce effective hourly rates. - Budgeting & Forecasting: Own the global cloud budget, managing monthly variance analysis (BvA) and articulating spend narratives. - Capacity Planning: Translate engineering roadmaps into long-range financial plans (LRP) aligned with corporate margin targets. - Accounting Compliance: Ensure cloud contracts and R&D capitalization policies comply with IFRS standards. - Tax Strategy: Optimize cross-border cloud billing, withholding tax (WHT), and transfer pricing in collaboration with global tax teams.
About the Team: The ByteDance Database LavaStore team builds and maintains ByteDance's purpose-built local storage engine for large-scale cloud services. Working at the intersection of storage engines, databases, filesystems, and performance engineering, the team solves highly write-intensive, latency-sensitive, and cost-sensitive infrastructure problems that general-purpose systems cannot fully address. The team combines systems research with end-to-end production ownership: it studies real workload patterns from database, key-value, and stream-processing systems, turns those insights into practical storage innovations, and validates them in production at massive scale. Its work spans LSM-based engine design, KV separation, garbage collection, WAL-oriented storage paths, append-optimized filesystems, caching, and tail-latency optimization. LavaStore has already been deployed at very large scale, with over 100,000 running instances, more than 100 PB of stored data, and over 2 billion requests per second, reflecting the team's focus on building simple, robust, and cost-effective infrastructure with measurable real-world impact. Responsibilities: - Participate in the design and implementation of high-performance KV storage engines and file systems for large-scale distributed storage & database system backends; - Explore the design and evolution of next-generation KV storage engine architectures to ensure low latency and high throughput; - Deeply understand storage requirements across business scenarios, and collaborate with business teams to find the most suitable storage solutions.
About the Team: The ByteDance Database LavaStore team builds and maintains ByteDance's purpose-built local storage engine for large-scale cloud services. Working at the intersection of storage engines, databases, filesystems, and performance engineering, the team solves highly write-intensive, latency-sensitive, and cost-sensitive infrastructure problems that general-purpose systems cannot fully address. The team combines systems research with end-to-end production ownership: it studies real workload patterns from database, key-value, and stream-processing systems, turns those insights into practical storage innovations, and validates them in production at massive scale. Its work spans LSM-based engine design, KV separation, garbage collection, WAL-oriented storage paths, append-optimized filesystems, caching, and tail-latency optimization. LavaStore has already been deployed at very large scale, with over 100,000 running instances, more than 100 PB of stored data, and over 2 billion requests per second, reflecting the team's focus on building simple, robust, and cost-effective infrastructure with measurable real-world impact. Responsibilities: - Participate in the design and implementation of high-performance KV storage engines and file systems for large-scale distributed storage & database system backends; - Explore the design and evolution of next-generation KV storage engine architectures to ensure low latency and high throughput; - Deeply understand storage requirements across business scenarios, and collaborate with business teams to find the most suitable storage solutions.
About the Role ByteDance’s Dev Infra team is looking for talented Machine Learning Engineers to join our Dev AI initiative. Our mission is to build intelligent systems that transform how engineers design, develop, test, debug, and maintain software at scale. In this role, you will work at the intersection of machine learning, large language models, code intelligence, and developer infrastructure. You will develop and improve AI systems for code generation, automated testing, debugging, code understanding, and agentic software engineering, with the goal of significantly improving developer productivity across ByteDance. Responsibilities: - Develop and improve machine learning and large language model systems for software engineering tasks, including code generation, unit test generation, and debugging. - Build AI-powered developer agents and intelligent workflows that can reason over large codebases, interact with development environments and tools, execute multi-step engineering tasks, and assist engineers throughout the software development lifecycle. - Improve model and agent performance through prompt engineering, context engineering, retrieval, fine-tuning, reinforcement learning, tool-use design, and agent harness engineering. - Build high-quality training and evaluation data pipelines for software engineering tasks, including data collection, filtering, synthesis, labeling, and hard-example mining. - Explore and apply advances in large language models, code intelligence, program analysis, reinforcement learning, and autonomous software engineering to real-world developer productivity problems at scale.
The Global Payment team of ByteDance provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, financial services and so on to ensure that our users have a smooth and secure payment experience on ByteDance platforms including TikTok. This role is responsible for developing and managing financial service partnerships to achieve best-in-class solutions such as BNPL, merchant financing, insurance, etc. The ideal candidate will have a strong background in the financial service industry, excellent relationship management skills, and a proven track record of driving results through strategic collaborations. Responsibilities - Build and maintain strong relationships with key partners, ensuring continuous alignment and collaboration. - Identify and evaluate potential strategic partners to enhance financial service capabilities. - Develop and execute partnership strategies that align with the company’s objectives and growth plans. - Negotiate and finalize partnership agreements to ensure mutually beneficial outcomes. - Engage associations, regulators and key authorities with cross-team members when required. - Monitor and analyze financial service performance metrics to ensure optimal outcomes. - Work closely with internal teams (e.g., Solution, Product, Compliance, Finance) to integrate partner solutions and enhance processes. - Identify opportunities for new markets to fulfill new business development requirements. - Staying up-to-date with industry trends, market developments, and competitive landscape in the global payments space, especially in the financial service area. - Conducting market research to identify emerging opportunities and potential threats to the business. - Provide insights and recommendations to the leadership team based on market analysis and partner feedback. - Establish clear objectives and key results (OKRs) for partnerships. Track and report on the progress of OKRs, making adjustments as necessary to achieve targets.
About Global Payment The Global Payment team of ByteDance provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on to ensure that our users have a smooth and secure payment experience on ByteDance platforms including TikTok. Responsibilities: - Build overseas Financial Product and Solution suitable for consumers to support global ecological business and global users. Participate in the team work of the international payment platform, including system design, research and development, technological innovation, cultural construction, etc.; - Future-oriented architecture design of complex payment business-related systems, master the design ability of large-scale distributed systems, ensure the design quality of the system and consider the overall technical cost (development, operation, maintenance, reliability); - Consider the deficiencies and bottlenecks of existing businesses and systems, and propose optimization solutions to optimize customer experience and improve system performance and stability; - Participate in the design and review of technical projects, evaluate and control the quality of projects, think about various problems in the process of system iteration, and promote the improvement of teamwork efficiency and R&D quality.
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.
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.
The Planning & Supply team of the Service Supply Chain is responsible for the hardware rental management; planning, supply and reverse management for spare parts; large-scale decommissioning project management; and resource recycling solutions and operations. Our business spans multiple regions worldwide, focusing on servers and its spare parts. Our operational management objectives are to ensure efficient delivery of servers, after-sales spare parts support, and maximize value creation from end-of-life resource recycling. By joining this team, you will integrate into the supply chain domain of hyperscale data center hardware infrastructure. You will experience the hardware resource management philosophy behind a massive server fleet, the unique value of the after-sales supply chain, and innovation opportunities driven by continuous optimization and transformation. We are looking for a self-motivated planning expert who is experienced in server related planning or life cycle management. You will be responsible for planning and execution management of different scenarios. Your core responsibilities will include: - Responsible for aging inventory review and disposal process at RDC in non-China regions: conduct periodic reviews of inventory health, identify aging inventory disposal requests, apply and monitoring the delivery - Focus on hardware end-of-life (EOL) lifecycle, seek optimization of resource disposition solutions and value recovery enhancement, and increase internal reuse opportunities for hardware resources - Lead large-scale decommissioning projects across non-China countries; serve as Project Manager (PM) to coordinate cross-functional teams in developing decommissioning execution plans, and provide support and management for decommissioning execution progress, processes, and outcomes. Support and coordinate component resource reuse requirements within decommissioning projects - Responsible for proactive disassembly and spare parts repair operations in Europe and the United States. Develop production and delivery plans for disassembly and repair based on spare parts demand, coordinate cross-functional support for implementation, and achieve on-time fulfillment of disassembled spare parts. - Support local implementation, execution, and cross-functional collaboration of supply chain projects in Europe and the United States
Team Introduction The Global Payment team of ByteDance provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on to ensure that our users have a smooth and secure payment experience on ByteDance platforms including TikTok. We are seeking a results-driven marketing manager to own end-to-end growth, promotions, and loyalty strategy for our consumer digital card business. You will lead the design and execution of innovative online rewards, cashback, and incentive programs to drive card adoption, usage, and retention, drawing on best practices from leading banks and fintech players. You will own core KPIs including monthly active cards (MAC), total payment volume (TPV), and customer lifetime value. Responsibilities: Strategy & Program Design - Develop and execute end-to-end card growth, promotion, and loyalty strategy focused on online-first rewards, in alignment with our digital-first value proposition - Own design of cashback structures, reward tiers, campaign mechanics, and incentive policies, reward validity periods, and redemption rules to maximize user engagement while optimizing ROI - Benchmark against industry best practices from global banks and leading fintechs to create differentiated rewards experiences that drive competitive advantage Growth Execution - Launch and iterate on targeted acquisition, activation, and retention campaigns across e-commerce and other high-intent consumer touchpoints - Design segmented campaigns for new users, dormant users, and high-value users to drive continuous growth in MAC and TPV - Collaborate with product, operations, and payment network partners (such as Stripe, Visa, bank partners) to implement reward program infrastructure and ensure seamless user experience Measurement & Optimization - Define, track, and report on core business KPIs: monthly active cards (MAC), total payment volume (TPV), activation rate, retention rate, reward redemption rate, and program ROI - Build data-driven experimentation frameworks to A/B test program features, campaign creatives, and incentive structures, iterating rapidly to maximize performance - Conduct regular cohort analysis to identify high-value user segments and optimize reward allocation to maximize returns on marketing spend Partnership & Stakeholder Management - Collaborate with commercial teams to align card benefits with merchant partner offerings, creating exclusive rewards that drive usage - Work with risk, finance, and compliance teams to ensure all programs adhere to regulatory requirements and financial sustainability targets - Manage relationships with payment networks and bank partners to leverage joint promotion opportunities
About Team PICO's Imaging Systems & Human Engineering team is seeking a passionate and versatile Vision Scientist to help shape the next generation of perception-driven computational camera and display systems for PICO XR products. The ideal candidate has a deep understanding of vision science, strong command of psychophysics methods and statistical theory, and solid computational modeling skills. Experience with eye tracking, EEG/EOG, and other biosensing modalities, as well as hands-on experience with XR products and AI agents, is highly valued. The ideal candidate is also able to thrive in a dynamic, fast-paced environment. In this role, you will play a key part in defining perceptual specifications, running rigorous user studies, and building the models, prototypes, and features that optimize user experience across PICO's imaging products. Responsibilities - Define novel, product-critical perceptual specifications and metrics that quantify user experience in visual quality, visual comfort, and human performance for AR/VR products, and drive their adoption in system architecture and product requirements. - Design, conduct, and analyze psychophysics experiments and user studies to characterize human visual perception, validate novel features, and inform product decisions with statistically rigorous evidence. - Implement and develop XR-related features, leveraging multimodal sensor data and biometric signals (e.g., eye tracking, EEG/EOG, and other biosensing data), from algorithm prototyping through integration and validation. - Develop and maintain simulation platforms, computational models, and prototypes to accelerate hardware design iterations and software optimizations. - Apply perception science and early vision modeling to identify system limitations of next-generation display and imaging systems, and translate findings into actionable architecture specifications.
About the Team The Macro Research team operates as ByteDance's internal knowledge and advisory function, conducting rigorous research on economic and philosophical studies, geopolitics, technology governance, international affairs and history. The team tracks macro trends, produces long-horizon strategic assessments, and provides deep, contextualized insights to senior leadership on the global environment in which the company operates. Our work informs executive decision-making on market expansion, regulatory preparedness, and strategic positioning. Responsibilities: - Lead independent, end-to-end research and complex policy analyses spanning domestic and foreign policy, global geopolitics, tech governance, and comparative political economy, and synthesize findings for senior business leaders - Produce high-quality written intelligence products (strategic assessments, country briefings, trend analyses, issue-specific deep dives) and deliver presentations to senior management on topics of strategic interest - Build and maintain trusted, substantive relationships with leading scholars, researchers, policy experts, think tanks, and academic institutions to collect expert insights and perspectives - Work with relevant internal teams across the business to provide longer-term strategic context that complements their near-term regulatory and policy work - Interpret long-term trends across multiple jurisdictions and connect them to the company's business strategy - Respond to ad hoc research inquiries from leadership and business units; contribute to recurring team products (ie: tech landscape newsletters, regional assessments)
Global server management-Server NPI&Quality Management Team, Responsible for the operation, maintenance management and technical services of the server throughout its life cycle. The job responsibilities cover directions such as the introduction of new product operation and maintenance, operation adaptation like operation and maintenance supervision and control, online quality operation management, the standardization of operation processes, and the planning and construction of platform systems. We are looking for a server operation and maintenance expert to be responsible for the management of new product introduction and online quality operation., your responsibilities will include: 1. Responsible for the operation management of server new product introduction and the construction of an adaptation system. This includes formulating server operation and maintenance standard baselines, server hardware monitoring and formulation, planning, designing, iteratively optimizing the maintainability, ease of maintenance, and stability solutions for new products, identifying and evaluating operation risks during new product introduction, and constructing and adapting new product operation and maintenance solutions. 2. Deeply involved in formulating hardware monitoring plans and verifying and launching monitoring rules for new online models, new hardware, and new scenarios. Precisely define and continuously improve various hardware failure judgment criteria, enhance the accuracy and recall rate of hardware monitoring, and ensure the stable operation of servers. 3. For complex hardware troubleshooting of online servers, conduct in - depth analysis based on server - level black - box logs (such as BMC logs, IPMI/SMBIOS data, operating system kernel logs, hardware event logs, etc.). Collaborate with internal and external software and hardware R & D experts to accurately locate the root causes of difficult problems. Continuously improve the clarity rate of hardware failure monitoring and diagnosis and the consistency rate between repair reports and actual repairs, effectively reducing the failure return rate. 4. Build a hardware failure knowledge base, accumulate typical cases and troubleshooting methodologies, promote the upgrade of monitoring automation and intelligence (such as the implementation of AIOps anomaly detection), participate in the construction of the hardware monitoring system and the standardization of hardware operation and maintenance processes, and write and maintain technical documents and operation manuals. 5. Online quality operation, Establish unified quality standards, clarify the basis for batch quality determination, define the collaborative interface for batch quality issue repair, accumulate historical batch issue experience, implement risk management in advance, and control risks from the source. 6. International travel requirement: up to four times per year, including but not limited to China, Europe, and South Asia. Candidates must have a valid passport and be able to obtain the necessary visas.
The global data center operation team supports the company's fast growth by operating hyperscale datacenters. The team manages the end to end lifecycle of server fleet, providing cloud solutions and various infrastructure services ensuring that they are scalable and are reliable. This role offers the opportunity to support global hyperscale data center facility infrastructure operations across multiple regions, working closely with facility managers, business teams, vendors, and cross-functional stakeholders. The position provides exposure to large-scale facility O&M, emergency response, risk management, operational governance, and platform capability building. Candidates will play a key role in improving global operational standards, service reliability, and O&M quality across a rapidly growing infrastructure environment. We are looking for candidates who can: 1. Oversee overall operation, maintenance and emergency response for global data center infrastructure. Provide remote emergency support, coordinate with on-site facility managers and local contacts, and liaise with business teams when service disruptions occur. 2. Escalate and report major risks in a timely manner, follow up on rectification progress, and coordinate internal and external resources to ensure full closed-loop management of O&M risks. 3. Drive the implementation, rollout and supervision of O&M management systems. Unify operational specifications across all data centers, and guide on-site teams on daily routine work. 4. Regularly monitor and analyze regional O&M metrics, conduct quality supervision and process audits. Identify potential operational risks, and continuously optimize workflows and service quality. 5. Support the capability building of data center infrastructure platforms, including data ingestion, data governance and alarm management.
Team Introduction ByteBrain is ByteDance’s AI for Infrastructure (AI4Infra) platform, dedicated to improving the efficiency, reliability, and intelligence of large-scale infrastructure systems through AI and machine learning. ByteBrain supports a wide range of infrastructure domains, including AI data center supply chains, databases, storage systems, networking, containers and virtualization, and big data platforms, powering infrastructure optimization at massive scale. This role sits at the intersection of: Operations Research × AIOps × AI for Infra You will have the opportunity to solve some of the most challenging optimization problems behind large-scale AI datacenters while pioneering the next generation of AI-powered decision-making systems, where LLMs, and optimization algorithms work together to improve efficiency, resource utilization, and operational intelligence across ByteDance's global infrastructure. Responsibilities - Design and develop AI, machine learning, and optimization algorithms to improve the efficiency, reliability, and performance of large-scale infrastructure systems. Areas may include AIOps, operations research, software engineering, and system optimization. - Drive the deployment, scaling, and continuous improvement of algorithms in production environments, supporting large-scale services. - Identify optimization opportunities and emerging challenges from real-world infrastructure scenarios, translating them into impactful research and engineering solutions. - Conduct cutting-edge research and publish high-quality papers in top-tier conferences and journals.
About the Team Join ByteDance’s AI Agent Memory Infrastructure team, where we build the core memory systems that power next-generation intelligent agents. Our focus is on creating a unified platform for long-term, conversational, and task-oriented memory, enabling more personalized and context-aware AI experiences. We design and operate large-scale, low-latency, and highly reliable memory infrastructure, covering the full lifecycle from storage and retrieval to updating and optimization. Working at the intersection of LLMs, data systems, and context engineering, we tackle challenges in memory representation, retrieval, and multimodal fusion. Partnering closely with model and product teams, we turn advanced research into scalable production systems that support a wide range of AI-driven applications. Responsibilities - Design, build, and evolve the next-generation memory infrastructure for AI agents, developing a unified platform that supports long-term memory, conversational memory, and task-oriented memory. - Architect and optimize memory system pipelines for large-scale, low-latency, and high-availability environments, including data ingestion, storage, indexing, retrieval, updating, compression, and forgetting mechanisms to support real-time inference and personalized interactions. - Explore key challenges at the intersection of large language models, context engineering, and data management, including memory representation, retrieval and ranking, conflict resolution, summarization and fusion, and memory lifecycle management. - Design unified memory models and processing workflows for multimodal data (text, image, audio, behavioral signals), enhancing agents’ long-term consistency, personalization, and task completion in complex scenarios. - Collaborate closely with model, application, and platform teams to productionize memory capabilities, and continuously optimize system performance across quality, latency, cost, reliability, and safety. - Stay up-to-date with cutting-edge advancements and contribute to the long-term technical roadmap of AI agent memory systems, driving innovation and capability evolution.
About the Team The Security Engineering team at ByteDance builds and operates the core systems that protect one of the world's largest internet platforms and its global user community. We tackle challenges that span threat detection and response (TDR), infrastructure protection, and the emerging frontier of AI and LLM system security — all at the scale of TikTok and ByteDance. Our engineers combine deep systems-building expertise with strong security fundamentals to deliver high-impact, production-grade solutions in a fast-paced, globally distributed environment. If you thrive on ownership, love solving ambiguous problems, and want your work to safeguard products used by billions, this is the team. Responsibilities - Design and build innovative threat detection, prevention, and response (TDR) systems that protect large-scale platforms, critical infrastructure, and globally distributed endpoints. - Drive the security of LLM-based systems and AI agent architectures — identifying novel attack surfaces, developing defensive frameworks, and ensuring the safe deployment of AI-powered products at scale. - Own the end-to-end lifecycle of distributed security systems operating across global regions — from deployment and capacity planning through production reliability, observability, and continuous iteration at scale. - Partner closely with cross-functional global teams to turn vague problem statements and emerging threat patterns into clear product requirements, and ship high-impact security capabilities on aggressive timelines.
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.
To support the fast growth and manage the massive content on the platform, ByteDance's infrastructure team is building Global Energy Expertise on hyper-scale data centers around the world that host hundreds of thousands of servers. We are looking for a passionate and structured project manager to support key power and energy functions, including power availability analysis and power reliability due diligence for site expansion. You will work closely with Strategy, Data Center Engineering, Operations, Capacity Planning and Global Supply Chain teams to manage complex construction and service projects in the Americas and EMEA regions. The ideal candidate should be comfortable with managing complex projects and building constructive partnerships with internal and external stakeholders. - Lead utility and power due diligence for existing and future data center portfolios in support of site acquisition and operation. - Manage data center energy supply, and identify markets with power availability that meet short-term and long-term demands. - Support lifecycle power management process from power reservation application, interconnection permitting, energization to reliability monitoring in greenfield, brownfield and/or power shell data center models. - Conduct energy cost analysis and drive initiatives to optimize the budget structure.
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.
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 infrastructure to enable efficient training of foundation models, multimodal LLMs, and image/video generation models - Design and optimize distributed training strategies for multimodal 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 infrastructure solutions
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. 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 The team at PICO is dedicated to leverage technologies such as computer vision, deep learning, SLAM, 3D reconstruction, and multi-sensor fusion, we continuously expand the ways humans interact with the virtual world through handheld controllers, bare-hand tracking, eye-tracking, and XR interactive accessories, enhancing the overall interaction experience. Responsibilities： 1. Research and develop innovative deep learning models with a focus on the intersection of surface electromyography (sEMG), computer vision, and IMU technologies； 2. Design and implement sEMG signal acquisition pipelines, optimize signal quality, and perform data preprocessing tasks such as denoising and feature extraction； 3. Explore spatiotemporal feature fusion methods (e.g., Transformer, LSTM, Spatiotemporal Convolutional Networks) to achieve efficient multimodal data fusion； 4. Handle sensor noise and interference in various environments, optimize model performance, and improve the generalization of algorithms
About the Team The Infrastructure System Lab is a hybrid research and engineering team dedicated to building the next generation of AI-native data infrastructure. Operating at the crossroads of databases, large-scale systems, and AI, the team innovates across multiple domains, including advanced VectorDBs and multi-modal databases for large-scale retrieval and reasoning, intelligent infrastructure optimization using machine learning, LLM-based developer tools like NL2SQL and NL2Chart, and high-performance cache systems for distributed storage and LLM inference. The lab is deeply collaborative, with researchers and engineers working side by side to turn groundbreaking ideas into production-ready systems. Their work is deployed at scale, powering products used by millions, and frequently shared through publications and open-source contributions. About the Role We are looking for a passionate and skilled professional to join our AI4DB team, where artificial intelligence meets cutting-edge database technology. In this role, you will design and implement intelligent systems that improve the performance, scalability, and usability of modern databases. Your work will span query optimization, indexing strategies, workload forecasting, and the development of self-managing databases. This role offers the chance to solve complex, high-impact problems at the intersection of AI, systems, and software engineering, while collaborating with a top-tier team. You'll have opportunities to publish, contribute to open-source, attend leading conferences, and benefit from competitive compensation, strong research support, and an innovation-driven environment. Responsibilities - Conduct research and development in applying AI/ML techniques to database management systems. - Develop intelligent algorithms for tasks such as query planning, indexing, storage management, and workload prediction/scheduling. - Collaborate with data infrastructure and engineering teams to integrate AI models into production systems. - Analyze large-scale datasets from database workloads to uncover optimization opportunities. - Publish findings in top-tier conferences and journals (VLDB, SIGMOD, ICDE, NeurIPS, etc.). - Contribute to open-source projects or internal tools supporting AI-enhanced databases.
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.
Established in 2023, the ByteDance Seed team is dedicated to pioneering new paths toward artificial general intelligence. We aspire to advance the frontier of intelligence to drive progress for both technology and society. With a long-term vision for the AI sector, the Seed team's research spans MLLM, GenMedia, AI for Science, and Robotics. We maintain a global presence with laboratories and career opportunities across China, Singapore, and the United States. To date, we have launched industry-leading general foundation models and cutting-edge multimodal capabilities. Our technology powers over 50 application scenarios — including Doubao, Jimeng, TRAE, Dola and Dreamnia — and serves enterprise customers through Volcano Engine and BytePlus. Third-party data shows that the Doubao App ranks first in user volume in the Chinese market, while Doubao foundation models lead the industry in average daily token consumption. The Seed Vision team focuses on foundational models for visual generation, developing multimodal generative models, and carrying out leading research and application development to solve fundamental computer vision challenges Responsibilities - Conduct research and development in visual foundation generative models - Develop foundation models to enhance the strategic advantages for ByteDance products
Established in 2023, the ByteDance Seed team is dedicated to pioneering new paths toward artificial general intelligence. We aspire to advance the frontier of intelligence to drive progress for both technology and society. With a long-term vision for the AI sector, the Seed team's research spans MLLM, GenMedia, AI for Science, and Robotics. We maintain a global presence with laboratories and career opportunities across China, Singapore, and the United States. To date, we have launched industry-leading general foundation models and cutting-edge multimodal capabilities. Our technology powers over 50 application scenarios — including Doubao, Jimeng, TRAE, Dola and Dreamnia — and serves enterprise customers through Volcano Engine and BytePlus. Third-party data shows that the Doubao App ranks first in user volume in the Chinese market, while Doubao foundation models lead the industry in average daily token consumption. The mission of the Seed Speech team is to enrich interactive and creative processes through the application of multimodal speech technologies. The team focuses on the forefront of research and product development in speech and audio, music, natural language understanding, and multimodal deep learning. Responsibilities - Conduct research and development in speech/audio foundation models - Collaborate with cross-functional teams to identify key research areas and contribute to the development of innovative speech/audio models. - Work with product development teams to integrate research findings into practical applications for ByteDance and other platforms. - Collaborate on team-driven projects to address complex challenges and enhance the overall effectiveness of the research team.
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.
Team Introduction Our team is building industry leading, highly efficient and scalable video codec hardware solutions (FPGA and ASIC) from the ground up to better serve our billions of users. We are looking for strong video codec algorithm modeling engineers to design algorithms and C-model for advanced video encoding and processing implemented in dedicated hardware accelerators. The successful candidate will be part of a fast growing team that includes algorithm, architecture, software, firmware, and hardware design and verification experts with a dedication to technical excellence and a passion to build large-scale and high-performing video platforms and services. Responsibilities: - Design and develop algorithms and C/C++ models for advanced video encoding and processing for hardware implementation - Support use of C/C++ models for architectural modeling and algorithm benchmarking - Collaborate with the HW architecture and design team for optimal algorithm and architecture co-design
