Open jobs in United States: on-site, hybrid and remote.
25 jobs found · United States
Remote, United StatesNorth America
As a Journey Architect on GitLab's Digital Customer Outcomes team, you'll design journeys that turn meaningful customer actions into retention, consumption and revenue…
Remote, United StatesNorth America
As a Lead/Principal Journey Architect on GitLab's Digital Customer Outcomes team, you'll connect programs into customer journeys that drive meaningful actions…
Remote, Canada; Remote, United StatesNorth America
As an Intermediate Fullstack Engineer on GitLab's Subscription Lifecycle team within Monetization, you'll build the frontend experiences and backend services customers…
Remote, Canada; Remote, United StatesNorth America
As a Senior Compensation Manager at GitLab, you'll lead the design, planning, and execution of compensation programs that help us attract, retain, and reward team…
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…
Hybrid in Santa Clara or Mountain View, CANorth America
We’re looking for a Forward Deployed Engineer to work on-site with our customers, serving as the primary technical presence in customer engagements, leading pilots and…
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…
Mountain View, CANorth America
We’re looking for a Forward Deployed Engineer Intern who can bridge the gap between our technology and the customers building with it.
Onsite in Santa Clara or Mountain View, CANorth America
As a Senior IT Systems Administrator, you will provide hands-on IT support for the Bay Area office and support employees across the AMER and EMEA regions — administering…
We are looking for machine learning engineers with strong reinforcement learning design skills and software development skills.
The agentic layer (NL intake, agentic trouble-shooting, task orchestration, auto-research loop) is an important component, but the foundation of this role is strong…