About the team:
At Sift we enhance trust and safety in the digital world with our AI driven technology platform. Our products deliver payment protection, ensure content integrity, and protect account defense for businesses around the world. The Machine Learning Platform team exists to enable product teams to construct and operate their production machine learning services as effectively as possible.
The team does this by providing a platform which handles the common needs of the product teams including production system integration, model training, model availability, health and monitoring infrastructure for model serving, and a streamlined model release process.
What you’ll do:
As a Senior Engineer on the Machine Learning Platform team you will build tools and processes to manage, improve, and rapidly scale our platform. Specifically, you will:
What would make you a strong fit:
A little about us:
Sift is the leading innovator in Digital Trust & Safety. Hundreds of disruptive, forward-thinking companies like Airbnb, Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse.
The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.
Benefits and Perks:
Sift is an equal opportunity employer. We make better decisions as a business when we can harness diversity in our experience, data, and background. Sift is working toward building a team that represents the worldwide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day.
This document provides transparency around the way in which Sift handles personal data of job applicants: https://sift.com/recruitment-privacy