Top Tech Jobs & Startup Jobs in Seattle, WA

Lead the design and development of Windows desktop applications, enforce best practices, ensure accessibility, and take ownership of features from conception to maintenance.

The AI Engineer & Researcher will work on deploying ML inference workloads, introducing new techniques for model performance, and resolving system bottlenecks.

Design, develop, and optimize platforms for machine learning initiatives. Collaborate with teams to create a self-service ML ecosystem and refine UX/UI patterns across products.

Design and optimize core platforms for machine learning features while collaborating closely with product and engineering teams. Refine user experience across products and influence the product roadmap.

The role involves collaborating with teams to deploy ML inference workloads, improve model performance, and enhance system visibility for AI Voices.

The Tech Lead collaborates with machine learning teams to improve AI voice deployment, optimizing performance and stability of services using Python and cloud technologies.

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.

The Software Engineer will work with machine learning teams, operate AI Voices, improve deployed models' performance, and enhance service efficiency.

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 role involves deploying ML models, improving performance of AI services, and operating production services in a fast-paced environment. Candidates should have experience with Python, cloud environments, and containerized deployments.