Full Stack Software Engineer

Software Engineer Opportunity At Chalk Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis.

We are hiring Software Engineers to join our team. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership.

We are looking for software engineers who are comfortable solving business problems across all layers of the software stack. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience.

We need engineers who can build world-class user experiences across CLI and web surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems.

We're in the office 5 days a week. When unavoidable conflicts come up, we're flexible. This is not a hybrid role.

What you will do

Work directly with Chalk's co-founders to productionize our first iteration

Write TypeScript, Python, Go, and React

Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments

Iterate rapidly to improve Chalk's platform in response to customer needs

What we're looking for

4+ years experience of professional software engineering experience

Working knowledge of computer science fundamentals. We're not looking for experience from drilling leet code – we need folks who are comfortable building and maintaining real systems

A record of developing sophisticated user-facing applications that are pleasant to use

An eye for high-quality UX

Track record of learning new concepts quickly

Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes

Strong communication skills

Bachelor's degree in Computer Science or equivalent

Bonus points

Experience implementing data infrastructure

Experience working with developer tools

Experience with applied machine learning or data analytics

Experience with Go