18:I[34901,["/_next/static/chunks/1q_xs299ft_73.js","/_next/static/chunks/1hsg494-jz4os.js","/_next/static/chunks/1a25lc5cxtp8a.js","/_next/static/chunks/08v7mhpebw2l_.js"],"JobTable"] 19:T1b4c,

P-1588

At Databricks, we are passionate about helping data teams 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.

As a Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company.

We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days.

The impact you will have:

Work with a team to build features for the Databricks platform
Manage your project end-to-end, including design, code, and feedback
Learn about building a platform that scales quickly while maintaining quality and security

What we look for:

You will graduate in fall 2027 or spring 2028 with a degree in Computer Science, Engineering, or related subject
You have implementation skills with a general purpose program language, such as Python, Java, or C++
You have good knowledge of algorithms, data structures, and OOP principles
You are excited to solve ambiguous problems with a collaborative team

This application is ONLY for Winter 2027 (January-April). Please do not apply if you are looking for Summer or Fall.

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

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 anticpates 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.

Bellevue, Washington Hourly Rate

$51.50—$60 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At 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.

Applicant Privacy Notice

1a:T16d5,

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

SF Bay Area Hourly Rate

$54—$60 USD

About Databricks

Our Commitment to Diversity and Inclusion

Compliance

Applicant Privacy Notice

1b:T1e2a,

P-982

As a Product Management Intern, you will join a team that works diligently to understand and solve our customers' most challenging problems. You will learn how to be a successful PM at a high-growth enterprise technology company that operates at the important intersection of data and AI. We're hiring across all of our teams, including AI Platform, Genie, Machine Learning, Unity Catalog, Databricks SQL, ETL, Streaming, and EDA. As part of our 2027 intern cohort, you will have a dedicated manager and mentor as well as two mentors and connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company.

This is a 12 week paid summer internship program in either San Francisco, CA, Mountain View, CA, or Bellevue, WA.

The impact you will have:

Deeply understand customer problem space and establish the rails for viable solution space
Prototype and test early ideas with customers and engineers to validate direction before the team commits to a build
Work with engineers and designers to ship features on the Databricks platform
Own your project end-to-end — design, build, launch, and iterate on feedback
Build with scale, quality, and security in mind from day one

What we look for:

Pursuing a bachelor's or master's in computer science or a related engineering field graduating in Fall 2027 or Spring 2028
You've used AI tooling for both personal productivity and development projects
You have some first hand experience with SQL and/or Python
You're hands-on and learn by doing — happy to build, test, and iterate your way to an answer
You use analytical skills to make data-driven decisions (e.g. analyzing product usage)
You can make complex topics simple and communicate nuance to partners (engineers, customers, field) in both written and verbal form
You're excited to solve ambiguous problems with a collaborative team
You stay curious and keep learning, whether it's a new technology, a customer's domain, or a corner of the product you haven't touched

Pay Range Transparency

SF Bay Area Hourly Rate

$54—$56 USD

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 anticpates 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.

Bellevue, Washington Hourly Rate

$51.50—$53.50 USD

About Databricks

Our Commitment to Diversity and Inclusion

Compliance

Applicant Privacy Notice

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Role	Company	Location	Season	Posted
Software Engineering Intern (2027 Start) - Winter	Databricks	Bellevue, WA, United States	Winter 2027	3 days ago
PhD GenAI Research Scientist Intern	Databricks	San Francisco, CA, United States	—	3 years ago
Product Management Intern (Summer 2027)	Databricks	Bellevue, WA, United States	Summer 2027	3 years ago