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60 Databricks Research Jobs Hiring Near You

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

Sr. Manager, AI FDE

Manhattan, NY · On-site +1

$139.50K - $184.10K/yr

... Research, etc.) or equivalent practical experience Preferred: Experience in a customer‐facing consulting or professional services leadership role Experience working with Databricks Benefits At ...

Databricks

Sr. Compensation Manager

Mountain View, CA · On-site

$217.80K - $299.55K/yr

Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our R&D org (technology and product teams). This is a key role ...

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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.
Senior Engineering Manager, AI Runtime

Senior Engineering Manager, AI Runtime

Databricks

Mountain View, CA • On-site

$228.60K - $314.25K/yr

Full-time

Posted 26 days ago

Job description

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
Databricks' AI Runtime (AIR) product provides enterprises with an API for training and fine-tuning deep learning and LLM models with on-demand GPUs. Whether it's a transformer model for drug discovery or a fine-tuned foundation model, customers use this team's training infrastructure to build state-of-the-art frontier models.
As a Senior Engineering Manager, you will lead the team owning both the product experience and the foundational infrastructure of AIR. You'll shape customer-facing capabilities while designing for scalability, extensibility, and performance of GPU training and adjacent areas, collaborating closely across the platform, product, infrastructure, and research organizations.
The impact you will have:
  • Lead, mentor, and grow a high-performing engineering team responsible for the Custom Training product and its foundational infrastructure, including distributed training orchestration, cluster lifecycle, fault tolerance, and training efficiency.
  • Define and own the product and technical roadmap for AIR, balancing customer experience, functionality, and foundational investments.
  • Collaborate closely with product, research, platform, infrastructure teams, and customers to drive end-to-end delivery, from ideation and prioritization to launch and operation.
  • Drive architectural decisions and product design for managed GPU training at scale.
  • Advocate for customer needs through direct engagement, ensuring engineering decisions translate to clear product impact.
  • Build observability and reliability practices for long-running, multi-node training jobs, including checkpoint strategies, failure recovery, and operational runbooks.
  • Partner with recruiting to attract, hire, and develop top-tier engineering talent.
What we look for:
  • 8+ years of software engineering experience, with 3+ years in engineering management.
  • Track record building and operating managed GPU training infrastructure at scale (100s/1000s GPUs).
  • Deep familiarity with distributed training frameworks (PyTorch, DeepSpeed, Composer, Megatron-LM) and parallelism strategies (FSDP, tensor/pipeline parallelism).
  • Experience with training resilience patterns: checkpointing, elastic training, and automated failure recovery for long-running jobs.
  • Understanding of GPU performance fundamentals including NCCL, interconnect topologies, and memory optimization.
  • Experience building platform products with clear SLAs where you've owned the customer experience, not just the backend.
  • Strong cross-functional leadership across platform, product, and research teams, with the ability to lead through ambiguity and deliver complex projects.
  • Excellent collaboration and communication skills across engineering, product, and research organizations.
  • BS/MS in Computer Science, Electrical Engineering, or related technical field.

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.
Local Pay Range
$228,600-$314,250 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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