Here at Upstart, we're on a mission to reinvent lending. Our proprietary algorithm predicts income potential, default rate, and fraud more accurately than models based on traditional data alone. By considering more than just credit scores, our lending platform is helping thousands of people on their way to a better financial future.
Our core competitive advantage lies in the fact that we're able to innovate on our AI engine quickly. We're looking for a senior software engineer to join a new team focused on enabling our data scientists to move faster with respect to model training, testing, and deployment.
* Develop the scaffolding that allows data scientists to integrate models into production services and expose APIs to allow other services leverage them * Enable rapid experimentation and feedback loops in our model serving code so that we have an ability to continuously improve * Optimize the performance of complex underwriting and fraud detection algorithms * Work collaboratively with data scientists, data engineers, & DevOps to ensure that model training and deployment is a repeatable process that relies heavily on robots (not humans)
* Have 8+ years software engineering experience, * Are comfortable with containers, continuous integration, and Kubernetes, * Are experienced with some or many of the following: Python (flask/django), Ruby on Rails, Scikit-learn, interactive notebooks (Jupyter/Zeppelin), Apache Spark, Kafka, and AWS * Enjoy working at the intersection of engineering and data science, * Want to be part of a dynamic and fast paced startup
Then we'd love to hear from you!
About Upstart Network
Upstart Network is an online lending platform that uses data to bring together high potential borrowers and investors.