PhD GenAI Domain Adaptation Research Intern

Databricks; San Francisco (CA); On-site; USD 74,390 - 82,656; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Annual performance bonuses

Equity

Job summary

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.

Qualifications

• Research experience and proficiency with the fundamentals of deep learning.
• PhD candidate in computer science or related fields (electrical engineering, neuroscience, physics, mathematics, etc.).
• Proficient software-engineering skills, including PyTorch.

Responsibilities

• Adapt, improve, and evaluate a method from the literature.
• Design an entirely new method for domain adaptation.
• Compose multiple methods to create new recipes for efficient post-training.
• Evaluate LLMs and AI systems.

Skills

Deep learning fundamentals

Research experience

Software engineering

Proficiency in PyTorch

Education

PhD candidate in computer science or related fields

Job description

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.