AI Engineer - Quality and Post-Training
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…
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21 jobs found
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…
German
Identity & Access Management (IAM)
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…
Abu Dhabi, UAE; Hong Kong SAR; Kuala Lumpur, MalaysiaChina & Hong Kong
Business Partnership & Decision Support
German (a plus)
Maintain the approved control inventory, including control descriptions, owners, frequency and evidence requirements; process additions through the agreed governance…
Bangalore, IndiaIndia & South Asia
Glean is seeking an AI Data Analyst to help power the human evaluation system behind Glean’s AI product quality.
Bangalore, IndiaIndia & South Asia
We are looking for an individual-contributor Data Engineer to help build and operate Glean’s internal data platform.
Europe - RemoteEurope
Assist clients on all inquiries via live chat or email
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.