Stripe is the best software platform for running an internet business. We handle billions of dollars every year for hundreds of thousands of businesses around the world. One third of Americans bought something on Stripe in the last year.
With all this data, we’re looking for infrastructure and data engineers who can help us develop and grow our capabilities in artificial intelligence: you will work on building the platform, tooling, and pipelines for deep learning as well as new products and applications powered by AI.
You will work on:
- Building our production scoring stack for deep learning models
- Creating libraries that enable AI engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s data systems
- Owning, augmenting and evolving central datasets to enable new products powered by AI
- Pairing with product teams and AI modeling engineers to develop easy to use infrastructure for production AI models
- Becoming an expert in Spark, Kafka, pytorch and production AI workflows
We are looking for:
- A strong engineering background and interest in data. You’ll be writing production Scala and Python code
- Experience optimizing the end-to-end performance of distributed systems
- Experience developing and maintaining distributed systems built with open source tools
- Experience in writing and debugging ETL jobs using a distributed data framework (Spark, Kafka)
Nice to haves:
- Experience with Scala
- Experience with Spark or an equivalent framework
It’s not expected that you’ll have deep expertise in every dimension above, but you should be interested in learning any of the areas that are less familiar.
At Stripe, we’re looking for people with passion, grit, and integrity. You’re encouraged to apply even if your experience doesn’t precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren’t afraid to challenge assumptions. Join us.
To apply for this job please visit stripe.com.
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