Data AI · Lakehouse
Currently tracking 66 active AI roles, down 30% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $220k).
| Title | Stage | AI score |
|---|---|---|
| Senior GenAI Research Scientist - AI Efficiency & Optimization Research Scientist focused on foundation model efficiency in training and inference, optimizing ML systems for distributed training, memory, and compute efficiency. Requires MS/PhD in CS with ML/systems foundations, Python/PyTorch expertise, and a publication record in top ML/systems conferences. | PretrainServe | 9 |
| Principal Research Scientist - AI Scaling & Optimization Lead a research team focused on advancing LLM training and inference efficiency, developing novel algorithms and systems for scaling, optimization, and adaptation. The role involves defining research roadmaps, driving innovations, and translating breakthroughs into production capabilities on the Databricks AI platform. |
| 9 |
| Principal Research Scientist – Scaling Lead a research team focused on advancing LLM training and inference efficiency, post-training optimization, and scaling. Drive algorithmic innovations and translate research into production capabilities for the Databricks AI platform. | Post-trainServe | 9 |
| Staff GenAI Research Scientist - Retrieval Staff Research Scientist focused on Information Retrieval for enterprise agents, RAG, and embeddings. The role involves defining and leading research agendas, driving algorithmic innovations, and publishing at top ML/systems conferences. | AgentData | 9 |
| PhD GenAI Research Scientist Intern Research Scientist Intern role focused on domain adaptation for LLMs and AI systems in enterprise settings. Projects involve improving and evaluating literature methods, designing new methods, composing post-training techniques, and evaluating LLMs. | Post-trainAgent | 9 |