Currently tracking 109 active AI roles, down 43% versus the prior 4 weeks. Primary focus: Serve · Engineering.
ByteDance currently has 112 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 39% of the total, followed by agents at 27%. Engineering is the most frequent function, with research also being a significant area. The company is hiring for these positions primarily in the United States. Frequent tech tags include model_serving, inference_infra, and multimodal. In the last 30 days, ByteDance added 14 new AI roles, representing a 27% increase compared to the previous 30-day period.
ByteDance currently has 115 active AI-related roles in our index. The most common open titles are: Cloud Acceleration Engineer – DPU & AI Infra (2), LLM AIOps Development Engineer - Data Center Networking (2), Multimodal Model Training and Inference Optimization Engineer (2), Research Engineer - LLM Training Infrastructure - Seed Infra (2), Research Engineer - LLM/VLM Inference Optimization (Seed Infra) (2). Most positions are in Engineering and Research.
ByteDance's active AI hiring is concentrated in: serving infrastructure (38%), agents (25%), post-training (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
ByteDance is hiring AI talent in: United States (115 roles).
Job postings at ByteDance most frequently mention: Machine Learning, Production ML Systems, Algorithms & Data Structures, GPU Computing, Optimization Methods.
In the past 30 days, ByteDance has posted 2 new AI-related roles. That is a -78% change versus the prior 30 days (9 → 2).
| Title | Stage | AI score |
|---|---|---|
| Tech Lead Software Engineer - AI Compute Infrastructure The Tech Lead Software Engineer will design and build large-scale, container-based cluster management and orchestration systems with extreme performance, scalability, and resilience, focusing on GPU and AI accelerator infrastructure for LLM inference. This role involves architecting next-generation cloud-native systems, collaborating on inference solutions using various LLM engines, and contributing to open-source projects. | Serve | 7 |
| Tech Lead Software Engineer - AI Compute Infrastructure Tech Lead Software Engineer focused on building and maintaining large-scale, Kubernetes-native LLM inference infrastructure (AIBrix). The role involves designing and architecting GPU-optimized orchestration systems for hyper-scale environments, collaborating on inference solutions using various LLM engines, and staying current with AI/ML infrastructure advancements. | Serve | 7 |
| Tech Lead, Research Scientist - DPU & AI Infra Tech Lead, Research Scientist focused on DPU and AI infrastructure, optimizing distributed training and inference by leveraging DPUs, GPUs, and custom hardware. The role involves designing and developing high-performance network software, collaborating on software-hardware co-design, and driving end-to-end performance optimization. | ServeData | 7 |
| Senior Cloud Acceleration Engineer – DPU & AI Infra Senior Cloud Acceleration Engineer focused on DPU and AI infrastructure, involving software-hardware co-design to optimize distributed training and inference performance. Requires strong C/C++ and Linux systems development, with experience in networking, distributed systems, or AI/ML systems. | ServeAgent | 7 |
| Senior Software Engineer - AI Compute Infrastructure Senior Software Engineer to design and build large-scale, container-based cluster management and orchestration systems for LLM inference, focusing on performance, scalability, and cost-efficiency. The role involves architecting GPU and AI accelerator infrastructure, collaborating on inference solutions using various LLM engines, and staying current with AI/ML infrastructure advancements. | Serve | 7 |
| Software Engineer - AI Compute Infrastructure Software Engineer focused on building and maintaining large-scale, Kubernetes-native AI compute infrastructure for LLM inference, emphasizing performance, scalability, and cost-efficiency. The role involves architecting GPU-optimized systems and collaborating on inference solutions using various LLM engines. | Serve | 7 |
| Software Engineer - AI Compute Infrastructure Software Engineer focused on building and maintaining large-scale, Kubernetes-native LLM inference infrastructure (AIBrix) with a focus on performance, scalability, and cost-efficiency. The role involves architecting GPU-optimized systems, collaborating on inference solutions using various LLM engines, and contributing to open-source projects. | Serve | 7 |
| Cloud Acceleration Engineer – DPU & AI Infra This role focuses on designing and developing DPU network software and exploring AI/ML infrastructure acceleration, specifically for distributed training and inference. It involves software-hardware co-design and performance optimization of systems related to AI computing. | ServeData | 7 |
| Cloud Acceleration Engineer – DPU & AI Infra ByteDance is seeking a Cloud Acceleration Engineer to focus on DPU and AI infrastructure. The role involves designing and developing high-performance DPU network software, collaborating on software-hardware co-design, and exploring AI/ML infrastructure acceleration for distributed training and inference. The position requires strong C/C++ and Linux systems development skills, with a background in areas like software-hardware co-design, distributed systems, networking, or AI/ML systems. | ServeData | 7 |
| Senior Software Engineer, AI Infrastructure - Developer Tooling Senior Software Engineer to build AI-powered developer tools, focusing on retrieval infrastructure (RAG), a coding agent with multi-step generation and tool use, and evaluation frameworks for measuring effectiveness. Requires strong Python/TypeScript, systems-level language experience, and practical LLM integration. | AgentData | 7 |
| Tech Lead, AML Orchestration Tech Lead for an Applied Machine Learning (AML) team focused on building and advancing distributed orchestration platforms for recommendation systems, ads ranking, and search ranking. The role involves leading a team of ML Engineers, setting technical strategy for resource efficiency, distributed training, and online inference systems, and optimizing large-scale distributed orchestration and scheduling strategies. | ServeAgent | 7 |
| Machine Learning Engineer (User Growth & Intelligent Marketing) - Global e-Commerce Machine Learning Engineer focused on optimizing user growth and intelligent marketing algorithms for TikTok's e-commerce platform. This role involves developing and implementing solutions for personalized recommendations, user value modeling, uplift modeling, and marketing efficiency to drive e-commerce GMV growth. | Ship | 7 |
| Machine Learning Engineer, Search - Local Services Team Machine Learning Engineer for ByteDance's Local Services team, focusing on enhancing user discovery and ecosystem growth for hospitality, dining, and leisure experiences. The role involves leveraging large-scale ML for search and recommendation systems, aiming to improve personalized relevance, CTR/CVR prediction, and conversion efficiency for billions of users. Responsibilities include designing and implementing full-stack search algorithms, query analysis, ranking, and personalized behavior modeling. | Ship | 7 |
| Machine Learning Platform Engineer, Applied Machine Learning Team Machine Learning Platform Engineer to develop and maintain a platform supporting deep learning models for code development, testing, training, model deployment, and other core business functions. The role supports recommendation, advertising, and search systems, focusing on distributed training of large-scale deep learning models. | ServeData | 7 |
| Senior Software Engineer, Cross Platform Applications Senior Software Engineer to build AI-powered developer tools that integrate AI/ML into the toolchain to accelerate software development, improve code quality, and simplify engineering workflows. Focus on intelligent assistants, static/dynamic analyzers, and smart automation features. | Agent | 7 |
| Software Engineer - Compute Infrastructure (Orchestration & Scheduling) Software Engineer role focused on building and optimizing large-scale compute infrastructure (Kubernetes, Serverless) to support AI and LLM workloads, including training and inference. The role involves enhancing cluster management, developing intelligent scheduling systems leveraging AI models for resource optimization, and leading infrastructure for next-gen ML workloads. | ServeAgent | 7 |
| Senior Software Engineer - Compute Infrastructure (Orchestration & Scheduling) Senior Software Engineer focused on building and optimizing large-scale compute infrastructure (Kubernetes, Serverless) for AI and LLM workloads, including scheduling, resource management, and inference. The role involves developing intelligent scheduling systems using AI models and contributing to open-source projects. | ServeAgent | 7 |
| Senior Software Engineer - Compute Infrastructure (Orchestration & Scheduling) Senior Software Engineer focused on building and optimizing large-scale compute infrastructure (Kubernetes, Serverless) for AI and LLM workloads, including scheduling, resource management, and inference. The role involves enhancing performance, scalability, and cost-efficiency for training and inference, with a focus on heterogeneous resources (CPU, GPU) and open-sourcing key technologies. | ServeAgent | 7 |
| Software Engineer - Compute Infrastructure (Orchestration & Scheduling) Software Engineer role focused on building and optimizing large-scale compute infrastructure (Kubernetes, Serverless) for AI and LLM workloads, emphasizing resource efficiency, scheduling, and reliability. The role involves developing intelligent scheduling systems leveraging AI models and leading infrastructure for ML training/inference. | ServeAgent | 7 |
| Machine Learning Engineer - PICO Perception - San Jose Machine Learning Engineer focused on optimizing and deploying AI algorithms on Qualcomm chips for XR devices, emphasizing low-power consumption and performance improvement. This role involves close collaboration with hardware vendors and contributing to the AI toolchain and technical ecosystem. | Serve | 7 |
| Senior Machine Learning Engineer - Data Recommendation (CapCut) Senior Machine Learning Engineer focused on recommendation algorithms for video creation tools like CapCut and Hypic, aiming to optimize content distribution and drive user growth. | Ship | 7 |
| Machine Learning Engineer, NLP - TikTok E-commerce Knowledge Graph Machine Learning Engineer focused on NLP and Knowledge Graphs for TikTok E-commerce. Responsibilities include constructing massive product knowledge graphs to enhance feed ranking, recommendations, and ads, and collaborating with cross-functional teams on product strategies. Requires a Bachelor's degree, 3+ years of ML/NLP/CV experience, and proficiency in C++/Python/Go/Java. | Data | 7 |
| Senior Site Reliability Engineer - Applied Machine Learning Site Reliability Engineer for an Applied Machine Learning team focused on next-generation recommendation algorithms and platforms. The role involves ensuring high availability and creating automated systems for large-scale AI/recommendation systems. | ServeShip | 7 |
| AI/LLM Network Software Development Engineer Develops and optimizes high-speed network infrastructure and communication frameworks specifically for AI/LLM applications, focusing on performance, scalability, and reliability in large-scale data centers. | Serve | 7 |