The United States and Canada.
11 jobs found · North America
Remote, Canada; Remote, United StatesNorth America
As an Intermediate Fullstack Engineer on GitLab's Subscription Lifecycle team within Monetization, you'll build the frontend experiences and backend services customers…
Remote, United StatesNorth America
As a Data Scientist at GitLab on the Enterprise Analytics team, you’ll be a trusted analytical partner to Sales, Revenue Operations, and Finance, helping define how we…
Remote, United StatesNorth America
As Senior Manager, Data Science, you'll lead Product Data Science: a team of 6 Data Scientists within GitLab's data organization, reporting to the Director of Data…
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
New York, New York, United StatesNorth America
The Engagement Manager owns that outcome: from signed SOW through production deployment, adoption, and renewal. You are the client's day-to-day executive counterpart…
New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United StatesNorth America
You will own the production system behind Turing’s software-engineering data programs, turning complex research requirements into predictable delivery across quality…
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.