$100K — $150K *
Senior Backend Engineer
DataRobot is the leader in enterprise AI, delivering trusted AI technology and enablement services to global enterprises competing in today's Intelligence Revolution. DataRobot's enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company's proven combination of cutting-edge software and world-class AI implementation, training, and support services, empowers any organization - regardless of size, industry, or resources - to drive better business outcomes with AI.
DataRobot has offices across the globe and funding from some of the world's best investing firms including Alliance Bernstein, Altimeter, B Capital Group, Cisco, Citi Ventures, ClearBridge, DFJ Growth, Geodesic Capital, Glynn Capital, Intel Capital, Meritech, NEA, Salesforce Ventures, Sands Capital, Sapphire Ventures, Silver Lake Waterman, Snowflake Ventures, Tiger Global, T. Rowe Price, and World Innovation Lab. DataRobot was named to the Forbes 2020 Cloud 100 list and the Forbes 2019 and 2020 Most Promising AI Companies lists, and was named a Leader in the IDC MarketScape: Worldwide Advanced Machine Learning Software Platforms Vendor Assessment.
As a Senior Backend Engineer on our Core Modeling team, you will accelerate the process of building predictive models to get the most out of valuable data, and create effective tools, efficient API to automate machine learning processes. The Core Modeling team owns the entire data science backend for DataRobot, and is responsible for making sure our models and modeling automation are the best in the world. In order to keep up with the demand for new features in DataRobot, we are looking to grow our backend engineering team. Primary responsibilities of this team include developing new data science tools, designing and supporting our APIs, and instrumenting DataRobot to integrate with enterprise IT infrastructure. Our team uses the following technology on a routine basis: flask, docker, pytest, MongoDB, redis, nginx, and RabbitMQ, among many others.
Valid through: 5/24/2021