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.
12 jobs found · Engineering
You will own the infrastructure that our next family of foundational models is trained on.
We're looking for a Machine Learning Engineer to join our Radius squad.
Bangalore, IndiaIndia & South Asia
As a Staff Backend Engineer, you will provide technical leadership across your team and adjacent teams, solving the highest-scope and most complex problems in your area.
Hong Kong (Hybrid)China & Hong Kong
As a Senior AI Analytics Engineer in our Data Team, you will bridge the gap between Data Engineering, Tech, and Product. In addition to core analytics engineering, you…
The work is heavy software engineering: you will design and ship control-plane services, scheduler integrations, autoscaling controllers, the inference-serving platform…
Remote · New York, NYNorth America
We're looking for a Senior Machine Learning Engineer to help shape the next generation of Search at Spotify.
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…
This is a backend role focused on data management, working on the problems at the core of any large data platform: running a data catalog that stays accurate at scale…
The MLOps Engineer owns the model lifecycle across all defence and strategic sector deployments — from serving infrastructure and monitoring to evaluation pipelines and…
We’re looking for a Senior Backend Data Engineer to help build and scale the systems powering content understanding across Spotify. This role sits at the intersection of…
The Data Scientist anchors the evaluations function for this vertical — designing, building, and maintaining evaluation frameworks that measure model and system quality…
As a Fullstack Engineer on the Duo Client SDK team at GitLab, you'll build the shared foundation for every GitLab Duo client.