or apply directly on Databricks's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Databricks's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- No 0% of Databricks's roles list one
- Ghost-job risk at Databricks
- high 863 stale, 25 reposted of 879 open
- Hiring momentum
- 1112 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Databricks's own greenhouse board since 2026-08-03. Full hiring picture for Databricks.
About this role
As a PhD GenAI Research Scientist Intern at Databricks, you will collaborate with the research team to advance domain adaptation techniques for LLMs and AI systems tailored to enterprise needs. Your tasks will include adapting existing methods, designing new approaches, and evaluating the performance of AI models, all aimed at solving complex data and AI challenges in various domains.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Databricks as an employer.
What you need
- Research experience in and proficiency with the fundamentals of deep learning.
- Pursuing a PhD in computer science or related fields (electrical engineering, neuroscience, physics, math, etc.).
- Proficient software engineering skills, including with PyTorch.
Worth weighing
- No specific benefits listed in the posting.
- Pay range provided is hourly and specific to the SF Bay Area, which may not reflect the full compensation package.
- Role involves working on advanced AI research, which may be highly specialized and niche.
Summarised from Databricks's posting. Read the full original.
Listed by Databricks on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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