Want to build cutting-edge infrastructure around Apache Spark? We're looking for Spark Platform infrastructure engineers who thrive at the intersection of machine learning (ML), scalable infrastructure, & massive data flows.
Our Spark platform delivers cost-efficient, on-demand access to computing resources for hundreds of developers & analysts, & we build tools on top of Spark to support data-mining & ML workflows. We're invested in the latest technology frameworks, & are contributing back to open-source projects to help us achieve our mission. Finally, we're simplifying data workflows by building tooling & processes to centralize data products & feature stores for analysts & ML needs.
Come work with & learn from our passionate & diverse team of engineers with years of experience spanning machine learning modeling to systems engineering. We communicate across the company, inputting data-processing needs & outputting efficient tooling & systems. As data infrastructure evolves, we continue to ride the wave of innovation by combining industry best practices & state-of-the-art tooling to bolster Yelp's machine learning platform. See this blog post for an overview of our Spark Platform.
We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes.
This opportunity is fully remote & does not require you to be located in any particular region. We welcome applicants from throughout Canada.