Top Tech Jobs & Startup Jobs in Seattle, WA

Design, develop, and maintain backend services and APIs for Speechify, focusing on performance, scalability, and user experience while collaborating with cross-functional teams.

As an AI Infrastructure Engineer, you will build and optimize ML platforms, ensure best practices in model management, and collaborate across teams to enhance AI solutions.

As an AI Infrastructure Engineer, you will build and scale ML infrastructure, develop MLOps tools, optimize performance, and collaborate with cross-functional teams. The role requires experience in software engineering and cloud services.

The role involves owning major features of the Android app, improving reliability metrics, collaborating with teams, and ensuring high-quality feature delivery.

As a Tech Lead, you'll ship production code, collaborate with product teams, and shape the product roadmap to create impactful features for users.

The Tech Lead will collaborate with researchers and engineers to deploy and manage AI Voice services, optimize ML models, and improve system performance.

The Software Engineer will work with ML researchers to deploy AI voice models, enhance performance, and resolve service issues.

As a Software Engineer at Speechify, you'll collaborate with ML researchers and engineers to enhance AI Voices, deploying core ML workloads, improving performance, and creating visibility tools for production services.

As a Software Engineer at Speechify, you will work with machine learning teams to enhance AI Voice functionalities, manage deployments, and improve model efficiency.

The Software Engineer will collaborate with ML researchers and product managers to enhance AI Voice services, ensuring efficient deployment and operation of models while addressing production issues.