About the role#
Our research team focuses on domain adaptation for LLMs and AI systems. We work on open research problems to help models perform well in custom enterprise domains. You will join our team to work on projects related to scaling and automating evaluation, fine-tuning with synthetic data, retrieval augmentation, and efficient inference.
What you'll do#
- Adapt, improve, and evaluate existing methods from research literature.
- Design new methods specifically for domain adaptation.
- Combine multiple techniques to create new recipes for efficient post-training.
- Conduct evaluations of LLMs and AI systems.
What you'll need#
- You are currently pursuing a PhD in Computer Science, Data Science, Mathematics, Electrical Engineering, Physics, or a related field.
- You have research experience and a strong grasp of the fundamentals of deep learning.
- You have proficient software engineering skills and experience working with PyTorch.
Location & details#
- This is an on-site, full-time internship based in San Francisco, California.
- The internship term is rolling.
- This is a paid position.
About Databricks
Databricks provides a unified Data Intelligence Platform for building and scaling data and AI applications. The company serves over 20,000 organizations, including major brands and a significant portion of the Fortune 500. Based in San Francisco, it maintains more than 30 offices across the globe. The organization employs over 16,000 people and operates as a private entity.
How to get in at Databricks
Applying early to Databricks gives you a distinct advantage, as high-volume roles often fill up before the applicant pool grows too large. Intern Insider sends an instant alert the moment a role matching your target is published, helping you get your materials in front of the team before the pile grows. Being among the first to apply is a practical way to ensure your profile is reviewed. You can use Intern Insider to identify the recruiters behind these roles and reach out directly to ask about the position or a referral. Connecting with a human recruiter often improves your response rates compared to submitting an application into a general queue. This approach shows you are proactive about your interest in the company.
