Currently tracking 106 active AI roles, with 26 new openings in the last 4 weeks. Primary focus: Serve · Engineering.
| Title | Stage | AI score |
|---|---|---|
| Research Engineer - LLM Training Infrastructure - Seed Infra Research Engineer focused on large-scale LLM training infrastructure, optimizing distributed training strategies, system reliability, and performance across GPU clusters. The role involves bridging research and production deployment for AI foundation models. | Data | 9 |
| Research Engineer – AI Training Systems Reliability & Performance (Seed Infra) Research Engineer focused on the reliability and performance of AI training systems, including distributed training, reinforcement learning frameworks, and high-performance inference for large foundation models. Responsibilities include building observability tools, managing cluster governance, and optimizing resource utilization. | DataPost-train | 9 |
| Research Engineer – Reinforcement Learning (RL) Systems & Infrastructure (Seed Infra) Research Engineer focused on building and optimizing distributed reinforcement learning systems and infrastructure for large-scale AI foundation models. This role involves designing end-to-end RL pipelines, optimizing training performance on GPU clusters, and collaborating with researchers on system-algorithm co-design. | DataPost-train | 9 |
| Research Engineer – Multimodal Training Infrastructure (Seed Infra) Research Engineer focused on building and optimizing large-scale distributed training infrastructure for foundation models, including multimodal LLMs and image/video generation models. This role involves deep expertise in parallelism strategies, system reliability, and performance optimization on large GPU clusters, bridging research and production deployment. | DataPretrain | 9 |
| 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 |