Data Scientist, FX Quantitative Research
Data Science at Stripe is a vibrant community where data scientists and data analysts learn and grow together. You'll be the senior quantitative lead for FX within…
The United States and Canada.
10 jobs found · North America
Data Science at Stripe is a vibrant community where data scientists and data analysts learn and grow together. You'll be the senior quantitative lead for FX within…
San Francisco, New York City, SeattleNorth America
Join us for an unforgettable summer internship and help shape the future of global commerce. At Stripe, you won't just be working on theoretical projects; you'll make a…
Join us for an unforgettable summer internship and help shape the future of global commerce. At Stripe, you won't just be working on theoretical projects; you'll make a…
Join us for an unforgettable summer internship and help shape the future of global commerce. At Stripe, you won't just be working on theoretical projects; you'll make a…
San Francisco Bay AreaNorth America
This role works at the intersection of applied research, quality, and product engineering to make those systems better. It also means bringing emerging research into the…
San Francisco Bay AreaNorth America
Our team owns data and evaluation science for Glean's AI products. Starting from real production usage, you'll turn what we learn into evals that guide improvements…
Mountain View, CA; San Francisco, CANorth America
Glean is looking for an experienced Global Lead, Analyst Relations to own our industry analyst relations program.
Mountain View, CANorth America
Glean’s Enterprise Brain team builds applied ML systems that help Glean understand a user’s work and anticipate useful next steps, including task prediction and…
Mountain View, CA; San Francisco, CANorth America
As the Tech Lead Manager of AI Evaluations, you will lead a team of applied AI scientists and engineers and build the evaluation strategy and platform that helps Glean…
Mountain View, CA; San Francisco, CANorth America
Glean is building a world-class Data Organization composed of product data science, applied science, data engineering and business intelligence groups.