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.
15 jobs found · Engineering
You will own the infrastructure that our next family of foundational models is trained on.
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…
The work is heavy software engineering: you will design and ship control-plane services, scheduler integrations, autoscaling controllers, the inference-serving platform…
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…
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…
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…
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, 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…
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…