Open jobs in United States: on-site, hybrid and remote.
18 jobs found · United States
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…
As a Senior Staff Machine Learning Performance Engineer, you will own that speed: working with the modeling teams on their hardest bottlenecks, setting the technical…
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.
We are seeking PhD research interns with strong expertise in generative modeling and a demonstrated record of original research.
We are looking for a full-time Machine Learning Engineer - AI Foundation, with deep knowledge and strong enthusiasm towards establishing a state-of-art ML infrastructure…
In this role, you will play a critical role in developing and maintaining the security foundation of our platform.