Top AI & Machine Learning Jobs in Seattle, WA

Design, build, and operate scalable, multi-tenant serverless inference services and APIs. Improve throughput, GPU utilization, reliability, and observability for large-scale AI workloads. Collaborate with platform, GPU infrastructure, and product teams, participate in on-call rotations, and drive architecture, automation, and incident reduction.

Lead and grow the Inference Orchestration engineering team to design, build, and operate Kubernetes-based AI infrastructure at scale. Drive scheduling, GPU utilization, topology-aware placement, checkpoint/restore for long jobs, fault tolerance, model distribution, security isolation, and cross-functional delivery to meet performance, cost, and reliability goals.

Drive the design and operation of the Gradient AI platform, focusing on architecture, technical excellence, and innovation. Collaborate across teams, mentor engineers, and lead initiatives for scalability, performance, and reliability in AI/ML development.

The Staff Forward Deployed Engineer drives AI adoption for strategic customers by solving complex cloud infrastructure challenges, developing scalable assets, and influencing product roadmaps through collaboration and technical expertise.

The VP of Data Cloud will architect and deliver a unified AI-native data platform, ensuring reliability, driving adoption, and scaling a global engineering organization.