Top Tech Jobs & Startup Jobs in Seattle, WA

As a Tech Lead, you will collaborate with ML researchers and engineers to enhance AI voice applications, focusing on deployment and operational efficiency. You'll tackle critical production services and suggest new tools and architectures for improved performance.

As a Tech Lead, you will collaborate with engineers and product managers to enhance AI Voice services, improve performance, and tackle operational challenges in a production environment.

This role involves deploying and operating AI Voices, improving model performance, and building tools to address stability issues. The ideal candidate has experience with Python, cloud environments, and containerized deployments.

The Software Engineer role involves developing and operating AI Voices in a cloud environment, enhancing performance, and resolving production issues. Candidates should have experience with Python services and cloud deployment, ideally with Kubernetes.

In this role, you'll work with machine learning researchers and engineers to deploy AI Voices, improve performance, and address production issues.

Develop and deploy AI-driven text-to-speech solutions, ensuring production reliability and optimizing performance, collaborating with engineers and researchers.

Lead the development of AI Voice products, improve deployment efficiency, and troubleshoot bottlenecks in machine learning services.

As a Software Engineer at Speechify, you will collaborate with machine learning teams to enhance AI Voice services, focusing on deployment and performance improvement of ML models.

The Software Engineer will collaborate with machine learning researchers to deploy and improve AI Voice services, managing production reliability and enhancing system performance.

As a Software Engineer at Speechify, you'll collaborate with cross-functional teams to deploy ML models, enhance performance, and address system bottlenecks in a dynamic remote environment.