About the role#
This internship focuses on advancing the frontier of domain adaptation for LLMs and AI systems. You will work directly with the research team to tackle open problems related to scaling and automating evaluation, fine-tuning with synthetic data, retrieval augmentation, and efficient inference. The goal is to develop models and systems that perform effectively within custom enterprise domains.
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 comprehensive evaluations of LLMs and AI systems.
What you'll need#
- Currently pursuing a PhD in Computer Science, Electrical Engineering, Neuroscience, Physics, Mathematics, or a related field.
- Research experience and proficiency in the fundamentals of deep learning.
- Strong software engineering skills, including experience with PyTorch.
Location & details#
- Location: San Francisco, California
- Modality: On-site
- Employment type: Full-time
- Compensation: This is a paid position with an hourly rate of $54 to $60 USD.
- Term: Rolling
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.
