ML Engineer (Training Infra), Foundational Models
You will own the infrastructure that our next family of foundational models is trained on.
Open roles in Engineering teams, from every company on the board.
9 jobs found · Engineering
You will own the infrastructure that our next family of foundational models is trained on.
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…
The work is heavy software engineering: you will design and ship control-plane services, scheduler integrations, autoscaling controllers, the inference-serving platform…
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…
We're looking for a researcher who can take a vague hunch about architecture, optimization, data composition, or training dynamics, design the right ablations, run them…
Remote · United States (Remote)North America
In this role, you will lead our agent optimization efforts.
The MLOps Engineer owns the model lifecycle across all defence and strategic sector deployments — from serving infrastructure and monitoring to evaluation pipelines 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…
Bangalore, IndiaIndia & South Asia
Glean is looking for engineers to help build the world’s best search and assistant product for work.