GenAI Research Scientist

Databricks • San Francisco, CA

90d

About The Position

As a Research Scientist on the GenAI Team at Databricks, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful when they train large models, and we encode our scientific expertise into our products to make that possible.
The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Mosaic AI does so by producing novel science and putting it into production. 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.

Requirements

• Are comfortable working with large-scale LLMs in the 10s to 100s of billions of parameters.
• Have solid ML and RL software engineering and scientific research skills.
• Have produced novel research related to fine-tuning LLMs or improving upon pre-trained LLMs.
• Have specialized expertise in topics like fine-tuning, RLHF, LLM tool-use, etc.
• Are passionate about getting your work into the hands of real users and - more broadly - democratizing access to modern AI technology.
• Are motivated by working on LLM research that - contrary to the general trend in the field - will be disclosed to the public.
• Have strong communication skills and a desire to work on a small, fast-paced team.

Responsibilities

• Keeping up to date with the research literature and thinking beyond the state of the art to address the needs of our users.
• Developing and implementing methods that extend and improve model capabilities, reliability, and safety.
• Rigorously evaluating these methods, communicating the results of your findings, and putting those that are useful into production.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees