About the job
At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions. The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from fine-tuning LLMs for enterprise domains, to a platform for building compound AI systems that use retrieval and agents. Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.
Responsibilities
Adapting, improving, and evaluating a method from the literature.
Designing an entirely new method for domain adaptation.
Composing together multiple methods to create new recipes for efficient post-training.
Evaluation of LLMs and AI systems.
Qualifications
Minimum
Research experience in and proficiency with the fundamentals of deep learning.
Pursuing a PhD in computer science or related fields (electrical engineering, neuroscience, physics, math, etc.).
Proficient software engineering skills, including with PyTorch.
Preferred
No preferred qualifications listed.