We Are

At RelationalAI, we are enabling the future of data-centric systems that learn, reason, and predict, built on our cloud-native relational knowledge graph management system. We are bringing together a global team of exceptional people who inspire and respect one another to achieve our mission.

We are intellectually curious, with problem-solving mindsets and a proven track record of delivering results. We value the ability to learn, grow, and respond to an ever-changing landscape of challenges and opportunities as much as we value past experience.

RelationalAI is a remote-first company that has been operating with a distributed team since day one.  We are based on six continents, support team members wherever they live, and are fluent in the tools and processes of distributed and often asynchronous work.

The Opportunity

All of our RKGMS is built in Julia: We devise and implement new data structures that power our worst-case optimal joins, build query evaluation pipelines that translate our query language Rel into low-level operations (cf. our talk at Juliacon this year), use the latest research in designing our cache management solution, engineer a fully incremental system that provides the best trade-offs between eager and lazy evaluation, and are working towards tuning these components all the way down to the generated LLVM code.

A major challenge for us is to leverage new features as Julia evolves. Because we're one of the largest Julia users, we also uncover bugs and limitations in Julia itself and our package dependencies that we're resolving in direct cooperation with Julia Computing, often extending Julia itself.

What You Will Do 

On our quickly growing team, we are looking for people excited to work on the intersection of our system and Julia.

As a part of our team, you will...

  • keep up to date with the latest Julia developments, ensuring that our system can run on the latest Julia version, and work on regressions and other changes together with our team

  • learn about and contribute to our system implementation and how trade-offs on the language side impact it

  • influence how we use Julia in the future and how we adapt our architecture and design to leverage its strengths

  • have the chance to interact with the fantastic folks from Julia Computing to tackle tricky challenges, and engage with the Julia and open-source community

  • have the option to work on Julia internals and new Julia features, contributing changes to the language itself

  • have the opportunity to contribute to open source by working on one of the coolest languages out there!

We are hiring engineers with a range of technical skills, from Julia aficionados to low-level systems engineers, and from engineers that want to focus fully on interesting problems and deep technical challenges to those willing to take on leadership and mentorship roles.

You 

There are three absolute must-haves: you're excited to work on Julia and our RKGMS full of novel design decisions; you're curious and enjoy learning; you’re a team player — you thrive in a collaborative environment where customer success is more important than individual success.

Other than that, there is no single prototype of an ideal team member. We are building a team that builds on each other’s strengths, and complements each other’s weaknesses.

Here are some example profiles:

  • You're excited about everything Julia. You're passionate about the latest developments in the language, browse Julia's Slack, read about new issues, and attend JuliaCon. Maybe you've even contributed to the language yourself in the past!

  • You love making your teammates more productive. You find yourself regularly refactoring and restructuring code to provide a better abstraction, or a more usable API.

  • You are comfortable with build systems, continuous integration, and deployment. You deeply care about software quality and a robust Julia environment.

  • You are a performance enthusiast. You excel at profiling and optimization, and you enjoy diving into unknown code to chase down and fix performance problems and regressions.

Why RelationalAI

RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well-being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live.

Country Hiring Guidelines:

RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements.

Because of this, understanding location & visa support helps us better prepare to onboard our colleagues.

Our People Operations team can help answer any questions about location after starting the recruitment process.

 

Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here.

California residents applying for positions at RelationalAI can see our Privacy Policy here

 

RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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