Location: Menlo Park, CA
Job posted 8 months, 3 weeks ago
Join a leading fintech company that’s democratizing finance for all.
Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers, removing fees, and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.
Just as we focus on our customers, we also strive to create an inclusive environment where our employees can thrive and do impactful work. We are proud of the world class products and company culture we continue to build and have been recognized as:
Robinhood is backed by leading investors that include DST Global, Index Ventures, NEA, Ribbit Capital, Thrive Capital, and Sequoia.
Check out life at Robinhood on The Muse!
Insights from data power most decisions at Robinhood. The Core Machine Learning team works with a simple mission of making it easy to use machine learning at Robinhood. The team is executing the mission by building the core infrastructure (eg. training and serving platform, feature platform) and a number of model-as-a-service solutions (eg. embedding service, multi-arm bandit service). The team works closely with data scientists who are applying ML in various spaces such as risk and fraud, growth, customer understanding etc. to ensure that they are able to ship their solutions to create business value.
As a backend engineer for the ML platform team, you will support and strengthen the software foundation of Robinhood’s ML platform. As the platform shapes up and gets released in stages, you will work towards making it highly scalable, reliable, and observable for our customers. You will have the opportunity to optimize the performance of the services and the feature pipelines that expose ML models to various business applications. You will also be responsible for integrating internal or 3rd party add-ons to the ML platform from time to time. You will play a critical role to build a robust MLOps infrastructure to support the thriving community of ML engineers and data scientists. You will regularly collaborate with the machine learning engineers in the platform team and the engineers in various infrastructure, data engineering, and security teams to ensure that Robinhood’s ML platform complies with the engineering standards and the “safety first” value of the firm.
Feeling ready to give 100% to democratizing finance for all? We’d love to have you apply, even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we’re looking for people invigorated by our mission, not just those who simply check off all the boxes.