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60 Databricks Research Jobs Hiring Near You

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$144K - $190K/yr

Databricks is a leading data and AI company, committed to helping organizations harness the power ... Partner with world-class engineering and research teams to transform cutting-edge AI advancements ...

Databricks

Sr. Product Manager, Databricks AI

San Francisco, CA · On-site

$149K - $196.80K/yr

Databricks is a leading company in data and AI, aiming to empower organizations to leverage the ... Partner with world-class engineering and research teams to transform cutting-edge AI advancements ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$148.80K - $204.53K/yr

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power ... Partner with world-class engineering and research teams to transform cutting-edge AI advancements ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$144K - $190K/yr

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power ... Partner with world-class engineering and research teams to transform cutting-edge AI advancements ...

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All JobsDatabricks Research Jobs

Databricks Jobs Information

What are the key skills and qualifications needed to thrive as a Researcher, and why are they important?

To thrive as a Researcher, you need strong analytical skills, attention to detail, and a relevant academic background, usually with at least a bachelor's or master's degree in your field. Familiarity with data analysis tools (such as SPSS, R, or Python), literature databases, and sometimes research certifications like CITI training are commonly required. Critical thinking, curiosity, and effective communication help researchers excel in synthesizing information, collaborating with peers, and presenting findings. These competencies enable rigorous, credible studies that advance knowledge and inform evidence-based decisions.

What are some common challenges faced by professionals in research roles, and how can they be addressed?

Professionals in research roles often encounter challenges such as securing funding, managing tight deadlines, and navigating ambiguous or inconclusive data. To address these, it's important to develop strong project management skills, maintain open communication with stakeholders, and stay adaptable when adjusting research methodologies. Collaborating closely with team members and seeking mentorship can also help overcome obstacles and promote successful outcomes.

What are research jobs?

Research jobs involve systematically investigating topics to discover new knowledge, analyze data, or solve specific problems. Professionals in these roles may work in academic, scientific, corporate, or government settings, conducting experiments, gathering data, and publishing findings. Common positions include research assistants, analysts, and scientists, each contributing to advancements in their field. Research jobs require strong analytical skills, attention to detail, and the ability to communicate results effectively. These positions are essential for driving innovation and informed decision-making.

What is the difference between Research vs Data Analyst?

AspectResearchData Analyst
Required CredentialsDegree in research-related fields, often with specialized certificationsDegree in statistics, data science, or related fields; certifications like SAS or Tableau
Work EnvironmentAcademic, corporate R&D, or market research settingsBusiness, finance, healthcare, or tech industries
Employer & Industry UsageUniversities, research institutes, corporationsCompanies, consulting firms, government agencies
Common Search & ComparisonResearch vs Data Analyst

Research professionals focus on generating new knowledge, conducting experiments, and analyzing data to support hypotheses. Data analysts interpret existing data sets to provide actionable insights for decision-making. While both roles involve data analysis, research emphasizes hypothesis testing and knowledge creation, whereas data analysis centers on data interpretation for business or operational purposes.

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
What are the most popular jobs at Databricks?
What are the most popular categories at Databricks?
Infographic showing various Research job openings at Databricks in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, and 6% Remote job distribution.
PhD GenAI Research Scientist Intern

PhD GenAI Research Scientist Intern

Databricks

San Francisco, CA • On-site

$54 - $60/hr

Full-time, Internship

Posted 26 days ago

Job description

Company Description:
At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.
The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from fine-tuning LLMs for enterprise domains, to a platform for building compound AI systems that use retrieval and agents. Mosaic AI is committed to the belief that a company's AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.
Job description:
Most of the world's data+AI problems lie in enterprise domains, behind closed doors. 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 how to scale/automate eval, fine tune with synthetic data, retrieval augmentation, fast/efficient inference and more.
You will work with our research team on projects focused on adapting LLMs and AI systems towards enterprise domains. This may include:
  • Adapting, improving, and evaluating a method from the literature.
  • Designing an entirely new method for domain adaptation.
  • Composing together multiple methods to create new recipes for efficient post-training.
  • Evaluation of LLMs and AI systems.

Your qualifications and qualities:
  • Required:
    • 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.

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
SF Bay Area Hourly Rate
$54-$60 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, 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 at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
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.

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