Top Tech Jobs & Startup Jobs in Charlotte, NC

As a Software Engineer at Speechify, you'll enhance AI Voice products, optimize ML pipelines, and improve deployment tools in a fast-paced environment.

Develop and optimize AI voice products by collaborating with teams, deploying ML workloads, and improving system performance for a seamless user experience.

The Senior Software Engineer will collaborate with ML researchers and engineers to enhance AI Voice services, manage ML workloads, and improve system performance.

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 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.

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

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