| Title | Stage | AI score |
|---|---|---|
| Senior Director, AI Model LifeCycle Senior Director role focused on establishing a team and platform for the entire ML model application development lifecycle, with an emphasis on LLMs. Responsibilities include managing fine-tuning systems, end-to-end training pipelines, distillation, and dataset/model management. | Post-trainData | 9 |
| Senior Staff Software Engineer, AI Model LifeCycle Senior Staff Software Engineer focused on building and managing the AI model lifecycle, including fine-tuning, training, and dataset management for large foundation models and LLMs. | Post-trainData | 9 |
| Senior Software Engineer, AI Model LifeCycle This role focuses on building and managing a platform for the AI model lifecycle, specifically for Large Language Models (LLMs). Responsibilities include managing fine-tuning systems (SFT, PEFT, LoRA, adapters), implementing training pipelines, handling distillation and reinforcement learning (RLHF, RLAIF), and managing datasets, models, and experiments. The role requires experience in Generative AI, training/fine-tuning/aligning LLMs, and ideally experience with performance optimizations on GPU systems and inference frameworks. | Post-trainData | 9 |
| Staff Software Engineer, AI Model LifeCycle Staff Software Engineer focused on building a managed platform for the AI model lifecycle, including fine-tuning, training pipelines, and dataset/model management for LLMs and multimodal models. | Post-trainData | 9 |