Canopy is a new private recommendation startup that gives people back control of their data using on-device machine learning and differential privacy. Our first app will launch later this year and help people discover the sights, sounds, and stories that inspire their lives. We want to connect people to the best parts of the internet every day, without compromising their identity or their privacy. We're looking for a machine learning engineer to join our Boston engineering team and bring our app to the world.

If you’re a hands-on engineer who has built data pipelines or shepherded machine learning models from Jupyter notebooks to microservices, we want to talk to you. This is your chance to build a private recommendation system from the ground up with Sarah Rich, Ben Recht (UC Berkeley), and David Blei (Columbia).
We have big dreams, and we won’t reach them without a diverse team. Canopy is not just committed to changing the way the world thinks about privacy, but to pushing our industry to become more diverse and inclusive and to address issues of fairness and bias in all that it builds. We welcome people from all backgrounds and are especially interested in non-traditional candidates.
Canopy provides equal employment opportunities to all employees and employment applicants. In keeping with our beliefs and goals, Canopy is committed to a policy where no employee or applicant will face discrimination/harassment based on race, color, creed, religion, age, sex, pregnancy or childbirth (or related medical condition), sexual orientation, partnership status, gender identity or expression, marital, parental or familial status, caregiver status, national origin, ethnicity, alienage or citizenship status, veteran status, disability status or any other legally protected basis. We also strive to prevent other, more subtle forms of inappropriate behavior, such as stereotyping.

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