Research Intern, ClickHouse Labs
ClickHouse · San Francisco, United States
- Location
- San Francisco, United States
- Workplace
- Remote
- Employment
- Internship
- Level
- Internship
- Posted
- 20 October
About this role
Program Overview
The ClickHouse PhD Research Internship Program offers doctoral students the opportunity to pursue ambitious research alongside ClickHouse Labs researchers and engineers working on some of the most interesting challenges in databases, systems, and data infrastructure.
Research interns join ClickHouse Labs for approximately 10-12 weeks to explore meaningful research questions, develop new ideas, and investigate technologies that have the potential to advance both the broader research community and the future of ClickHouse.
The program is intentionally designed around research collaboration. Interns are paired with experienced researchers and have the opportunity to pursue work that aligns with their academic interests, ongoing research, and areas of interest within ClickHouse Labs. In some cases, an internship may build on research, a prototype, or a system the student has already begun exploring at their university.
We believe the strongest research relationships extend beyond a single summer. Interns may continue their work after returning to their university through academic research, open-source contributions, publications, or other forms of collaboration. Where there is a strong mutual fit, an internship may become the beginning of a longer-term relationship between the researcher, ClickHouse Labs, and the broader academic community.
During their internship, researchers will have the opportunity to work closely with ClickHouse Labs, engage with ClickHouse's open-source technology and engineering community, share their findings, and contribute to the intellectual life of the broader research community.
Program length: 10-12 weeks, with flexibility based on academic calendars and research needs
Typical timing: Summer, beginning approximately June 1
Locations: Opportunities available across the US and Europe, subject to role and employment requirements. Remote first.
Research environment: ClickHouse Labs
Internship format: Research-focused, mentor-supported, and shaped around areas of mutual research interest
Compensation: commensurate with experience, a monthly stipend will be paid
Research at ClickHouse Labs
ClickHouse Labs explores ambitious ideas at the intersection of databases, distributed systems, data infrastructure, and the broader systems research community.
We believe some of the most interesting advances in these areas happen through close collaboration between industry and academia. ClickHouse Labs brings together researchers and engineers to explore new ideas, investigate challenging technical problems, and connect academic research with real-world systems at scale.
Research interns are an important part of that community. Interns have the opportunity to bring their own research interests and perspectives into ClickHouse Labs while working alongside researchers and engineers who are deeply engaged with both the practical challenges and open research questions shaping the future of data systems.
Program Goals
Identify exceptional PhD researchers working in areas directly relevant to ClickHouse.
Give researchers the opportunity to work on meaningful, open-ended problems with ClickHouse Labs.
Build long-term relationships with researchers and academic institutions.
Encourage continued research and open-source contributions after the internship.
Create opportunities for co-authored papers, thesis advising, or other academic collaboration.
Increase ClickHouse's visibility within the database and systems research community.
Publish and share meaningful research outcomes through the ClickHouse website and other appropriate channels.
What Makes the Program Different
This is intentionally not a highly structured engineering internship and should not detailed planning. ****But the high-level problem area and expectations should defined several months before the internship begins. This flexibility is intentional and allows ClickHouse Labs to respond to:
Emerging research questions
Current ClickHouse priorities
New academic research
Interesting systems or database prototypes
Work candidates have already completed
Opportunities to apply new research ideas to ClickHouse
The goal is to identify researchers whose work is already closely aligned with areas ClickHouse cares about and then determine the most valuable research problem to pursue together.
Candidate Profile
We are looking for exceptional PhD students conducting research directly relevant to ClickHouse and the broader database/systems space.
Ideal candidates
Currently pursuing a PhD in computer science or a closely related field
Conducting research in areas relevant to ClickHouse
Demonstrated research excellence
Strong database systems, distributed systems, hardware, or related technical background
Has demonstrated ability to independently pursue complex research questions
Ideally has prior experience with ClickHouse open source but not required**.**
Has research, prototypes, or publications that could translate into meaningful work with ClickHouse
Interested in continuing research beyond the internship
Potential interest in open-source contribution and academic collaboration
Candidate Selection Philosophy
The strongest candidates will be researchers whose work is specifically relevant to what ClickHouse Labs wants to explore.
A candidate who has already:
Worked with ClickHouse
Built a relevant database or systems prototype
Published research in an area relevant to ClickHouse
Explored a technical problem ClickHouse is interested in
may be significantly more valuable than a candidate with an otherwise impressive academic profile but no meaningful connection to our research areas.
Research Areas & Project Scope
Unlike an engineering internship program, specific projects do not need to be defined when recruiting begins.
Research projects may emerge from:
A candidate's existing research
A recent academic paper
A prototype or system the candidate has developed
An emerging ClickHouse Labs research priority
An opportunity to test or extend an existing research concept within ClickHouse
If this is relevant and exciting to you, please apply!
Perks
Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
Healthcare - Employer contributions towards your healthcare.
Equity in the company - Every new team member who joins our company receives stock options.
Time off - Flexible time off in the US, generous entitlement in other countries.
A USD$500 Home office setup if you’re a remote employee.
Global Gatherings - We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
As published by ClickHouse. Applications are handled on their site.
Skills this posting mentions
About ClickHouse
ClickHouse is a fast, open-source columnar database built for real-time data processing and analytics at scale. ClickHouse Cloud delivers the query speed and concurrency that applications demanding instant insight from large volumes of data require. As AI agents become more embedded in software, generating higher query volumes at tighter latency, ClickHouse provides a high-throughput, low-latency engine purpose-built for that workload.
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01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
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