Chalk
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About 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.
About the role
You are an exceptional software engineer who is able to build bespoke technical solutions and partner with machine learning teams to develop Chalk’s proprietary infrastructure. You will work with customers of Chalk to build efficient feature pipelines for problems in healthcare, finance, and recommendation systems. This role will give you a unique opportunity to work closely with customers, gathering requirements and engineering feature pipelines that support use-cases like cancer detection, fraud prevention, and product recommendation. This is your opportunity to join us in-person as an early employee and make a significant impact at a high growth start-up.
What you will do
Write code to implement Chalk technology for Chalk customers and prospects. You will become familiar with Chalk infrastructure and find the best way to integrate and implement them in different environments
Work closely with our Engineering and Sales teams
Act as the primary technical point of contact pre-sales and post-sales (when we are onboarding a new customer or supporting an existing one)
Recommend new products to customers as their business evolves
Help interview and grow the Engineering team
What we’re looking for
Technical background including experience writing software or building ML models
4+ years experience of professional backend software engineering experience
Proficient in Python, SQL
Ability to collaborate effectively in teams of technical and non-technical individuals
Excellent written and verbal communication, problem-solving, storytelling, and analytical skills
Experience working closely with sales teams and customers is a plus.
Bachelor's degree in Computer Science or equivalent
Bonus points
Previous experience working with ML/data products or services
Understanding of Machine Learning Ops/Infrastructure
Previous experience as a forward-deployed engineer in a high-growth startup focusing on Machine Learning.
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