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60 Databricks Research Jobs Hiring Near You

Databricks

Principal Data Scientist

Mountain View, CA · On-site +1

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data ... Academic research or teaching background in statistics or a quantitative field. * Industry ...

Databricks

Sr. Machine Learning Engineer

San Francisco, CA · On-site

$164.20K - $205.20K/yr

P-1131 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products ... Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams ...

Databricks

Staff Machine Learning Engineer

San Francisco, CA · On-site

$190K - $285K/yr

P-1504 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products ... Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams ...

Databricks

Principal Data Scientist

Mountain View, CA · On-site

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data ... Academic research or teaching background in statistics or a quantitative field. * Industry ...

Databricks

Staff Machine Learning Engineer

San Francisco, CA · On-site

$190K - $285K/yr

P-1504 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products ... Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams ...

Databricks

Sr. Machine Learning Engineer

San Francisco, CA

$144.30K - $190.30K/yr

P-1131 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products ... Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams ...

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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.
Staff GenAI Research Scientist - Agents

Staff GenAI Research Scientist - Agents

Databricks

New York, NY

Other

Posted 18 days ago

Job description

Staff GenAI Research Scientist - Agents

P-1214

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 Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company's AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description 

As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training.

The Impact you will have

As a Staff Research Scientist on the AI Research Team at Databricks, You Will: 

  • Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.
  • Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.
  • Drive algorithmic innovations for Retrieval within Large Language Models. 
  • Collaborate cross-functionally to set Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality. 

What We Look for

  • 4+ Years of Industry experience
  • PhD or MS in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval 
  • Developing and implementing methods that extend and improve model capabilities, reliability, and safety. 
  • Strong preference for candidates with first-author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPs) focused on optimization or efficiency.

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