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Databricks is seeking a research team member to advance domain adaptation techniques using LLMs and AI systems. Responsibilities include adapting literature methods, designing new methods for custom domains, and evaluating various AI systems.
Candidates should be PhD candidates in relevant fields with strong deep learning fundamentals and proficient in PyTorch. Competitive hourly rates and annual bonuses are offered.
Our research team's goal is to push the frontier of domain adaptation—how can we develop LLMs and AI systems that work well for custom domains. To do this we are tackling open research problems on a range of topics, from scaling/automating evaluation, fine‑tuning with synthetic data, retrieval augmentation, fast and efficient inference, and more.
SF Bay Area hourly rate: $54—$60 USD. Compensation may include annual performance bonuses, equity, and other benefits.
Databricks offers comprehensive benefits and perks that meet the needs of all employees, including health, dental, vision, and other typical benefits. For specific details on the benefits offered in your region, click here.
We are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical or mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.
If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.