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.
Currently tracking 109 active AI roles, down 43% versus the prior 4 weeks. Primary focus: Serve · Engineering.
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 |
|---|---|---|
| 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 |
| Research Scientist, Infrastructure System Lab Research Scientist role focused on designing and optimizing state-of-the-art vector indexing algorithms for large-scale similarity search and retrieval, powering next-generation vector databases. The work involves research into ANN search, optimization for performance, and collaboration with engineering for productionization, with a strong emphasis on academic publications and staying current with AI x systems research. | AgentData | 7 |
| Senior Research Scientist, Data Management and Security - Infrastructure System Lab Research Scientist role focused on building AI-native data infrastructure, including VectorDBs, AI for infrastructure optimization, and LLM Copilot tooling. The role involves research, design, development, and publishing in top academic conferences. | Data | 7 |
| Senior Research Scientist, Infrastructure System Lab Research Scientist focused on designing and optimizing state-of-the-art vector indexing algorithms for large-scale similarity search, filtered search, and hybrid retrieval use cases, contributing to next-generation vector database infrastructure. The role involves research and development of ANN algorithms, optimization for performance, and collaboration with engineering for productionization, with a strong emphasis on academic publications and staying current with AI x systems research. | DataAgent | 7 |
| Research Scientist, Infrastructure System Lab Research Scientist focused on designing and optimizing state-of-the-art vector indexing algorithms for large-scale similarity search, filtered search, and hybrid retrieval use cases. The role involves developing new algorithms, optimizing for performance, and collaborating with engineering teams for productionization, with a strong emphasis on academic publications and staying current with AI x systems research. | AgentData | 7 |
| Vision Scientist - PICO Lab - San Jose Research role focused on developing AI imaging algorithms and perceptual metrics for AR/VR products, applying perception sciences, and designing eye-tracking features. Requires advanced degree, 5+ years experience, strong background in statistics, optimization, machine learning, and computational modeling, with experience in psychophysics and user studies. | Post-train | 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 |