Top Tech Jobs & Startup Jobs in Boston, MA

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.

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.