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 Research Engineer, 3D vision Research Engineer focused on AI for 3D digital content creation, specifically human face and body, involving generative models and representations like NeRF. The role involves research, development, and transferring technology to products. | Data | 8 |
| Senior Research Scientist, Operations Research (Infrastructure Lab) Research Scientist role focused on operations research for AI-native data infrastructure, including next-generation databases, AI for infra optimization, and LLM-based tooling. The role involves designing and optimizing vector indexing algorithms and exploring AI integration into operations research pipelines. | DataAgent | 7 |
| Video Codec Algorithm Engineer - Multimedia Lab Research role focused on designing and developing AI-powered video codec algorithms, optimizing performance, and pushing the boundaries of video coding technologies. The role involves foundational research into large models and next-generation standards for multimedia content. |
| Data |
| 7 |
| Multimodal AI Algorithm Expert-EMG / Interaction Perception, PICO Research and develop deep learning models for multimodal data fusion using sEMG, computer vision, and IMU technologies, focusing on signal acquisition, processing, and handling sensor noise for enhanced human-virtual world interaction. | Data | 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 |