Top Tech Jobs & Startup Jobs in Seattle, WA

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.

The role involves building and improving systems for training AI models, focusing on algorithms and infrastructure for reinforcement learning. Responsibilities include enhancing performance, reliability, and usability of systems to support research.

The AI Solutions Architect will build AI solutions for the Communications team, identify improvement opportunities, train team members, and document workflow enhancements.

As a Technical Program Manager for Platform, you'll oversee deployment and operation of Anthropic's APIs across clouds, coordinating teams and managing complex program execution.

Build and maintain cloud cost attribution and cost-of-revenue models, forecast non-accelerator infrastructure demand, define unit cost metrics, surface efficiency opportunities, and create self-serve dashboards and reports to drive capacity planning and cost optimization.

Lead and grow the Product Analytics Engineering team to build scalable data pipelines, models, and marts. Partner with Product, Data Science, and Engineering to deliver reliable product metrics, SLAs, and self-serve analytics, while mentoring engineers and setting technical strategy for product data foundations.

Own product strategy and roadmap for compute scheduling, capacity allocation, and observability. Partner with engineering, infrastructure, research, and finance to define scheduling primitives, quotas, preemption/fairness policies, and capacity planning to maximize utilization, meet SLAs, and reduce cost while supporting diverse workloads from large training runs to real-time inference.

Responsible for recruiting top talent for Core Tech teams, focusing on Machine Learning and AI. Collaborates with hiring managers to improve processes and enhance employer branding while scaling diverse teams.

The Product Support Specialist responds to and investigates user support cases, assists customers, manages urgent issues, and improves support processes.

Develop and maintain desktop applications using TypeScript, React, and native technologies. Optimize performance and collaborate with cross-functional teams to enhance AI capabilities for users.