SparX is a small engineering team focused on applying online machine learning and predictive modeling to eCommerce (impacting a 24 billion dollar business).
Our stack is 100% Clojure, service oriented, targeting 50 million users with 1ms SLAs. We apply engineering and data science to tough problems such as dynamic pricing, shipping estimations, personalized emails, and multi-variate testing.
We are always looking for talent in data-science, engineering and devops. Bonus points if you can bridge 2 of these together. We love people with strong fundamentals who can dive deep.
We’re a small team, so you will have an opportunity for a high-impact role, targeting over 50 million users. But our best perk is our colleagues: a diverse and extremely talented team of stunning engineers, data-scientists and eCommerce experts.
We are located in San Mateo, walking distance from the Cal-Train station. Come visit or apply online at http://staples-sparx.com.
BA/BS in Computer Science, Math, Physics, or other technical field
A passion for innovation and pushing the envelope, while being down to earth and pragmatic
You think about edge cases and performance implications of what you build.
You know when to do it fast, when to do it right, and how to find the best compromise between the two.
Experience developing large-scale web-based applications and distributed systems
Experience with Clojure, Java, Lisp or Python
Experience in operationalizing and debugging high availability services
Demonstrated understanding of the JVM and its ecosystem
A thorough understanding of how business needs drive product features
Join the Team
Sound like a cool challenge? Get in touch at firstname.lastname@example.org, you’ll never look back!