Top Tech Jobs & Startup Jobs in Chicago, IL

The Software Engineer will deploy and operate ML inference workloads, improve model performance, and address operational issues in a dynamic 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.

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

The Senior Software Engineer will collaborate with AI researchers and engineers to improve ML inference workloads and user experiences for Speechify products, deploying and managing services efficiently.

The Software Engineer will work with ML researchers and engineers to deploy and operate AI services, optimize model performance, and improve production tools.

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

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 Tech Lead will lead product development for Speechify's web products, ship production code, and collaborate closely with product teams.