Top Tech Jobs & Startup Jobs in Seattle, WA

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

Build and enhance AI applications for enterprises, focusing on frontend development using modern technologies like Next.js and React. Collaborate with teams to create intuitive user experiences and optimize UI performance.

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

Lead the development of evaluation methodologies for large language models, collaborating with teams and publishing research findings. Enforce best practices in AI development.

The role involves designing and maintaining ML infrastructure systems for compute allocation and scheduling, improving reliability of workloads, and collaborating with ML engineers to enhance system efficiency.

The Senior Infrastructure Software Engineer will architect and scale multi-cloud infrastructure, focusing on compliance, observability, and developer efficiency for enterprise AI deployments.

Candidates who attended NeurIPS '25 are invited to share their info for potential roles at Scale AI, which focuses on machine learning and AI development.

The Tech Lead Manager will lead a team focused on developing methodologies for LLM evals, conducting research, creating benchmarks, and collaborating with clients and partners.

The role involves developing post-training techniques for improving LLM capabilities, collaborating with teams, and publishing research findings.

As an AI Deployment Strategist Manager, you will lead a team to ensure customer satisfaction by managing relationships, driving revenue, and executing projects effectively, while promoting operational excellence and strategic risk management.