Our Team:
Our ML teams are part of our core Data Science and Machine Learning group and consist of Online and Offline ML teams.
The Online ML team is responsible for building and operating low-latency and data-intensive systems such as a feature store, feature extraction, ML model serving, and versioning systems.
The Offline ML team is responsible for ML model release process, ML pipelines, model training, and validation.
Tech stack:
- Java
- GCP
- VertexAI
- Flink
- Dataflow
- Dataproc
- Airflow
Opportunities for you:
What would make you a strong fit:
What you’ll do:
A little about us:
Sift is the leading innovator in Digital Trust & Safety. Hundreds of disruptive, forward-thinking companies like Doordash, Binance, and Twitter trust Sift to deliver an outstanding customer experience while preventing fraud and abuse.
Sift is a series E company with a valuation of $1.7 billion as a unicorn. In 2021, Sift acquired 2 startups: Chargeback and Keyless to extend the company's product portfolio. Sift was nominated as the Best Employer in 2020 in Seattle.
Sift is a big data ML-based platform that processes 70B API requests per month, processes 1PB of data, and tens of thousands of transactions per second.
Let’s Build It Together
At Sift, we are intentionally building a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation, equity is a fundamental right, and inclusion is a basic human need. We envision a place where all Sifties feel secure sharing their authentic selves and diverse experiences with their teams, their customers, and their community – ultimately using this empowerment and authenticity to build trust and create a safer Internet.
This document provides transparency around the way in which Sift handles personal data of job applicants: https://sift.com/recruitment-privacy