Top Tech Jobs & Startup Jobs in Boston, MA

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.

As a Software Engineer, you will work with AI researchers to deploy models, improve performance, and deliver critical services.

The role involves collaborating with machine learning researchers to deploy and operate core ML workloads, improve performance, and develop visibility tools for production services.

The Senior Software Engineer will work with machine learning teams to enhance AI Voices, manage ML inference workloads, and improve deployment performance.

The Senior Software Engineer will enhance AI models, operate core ML workloads, and improve system efficiency, while collaborating with teams to enhance user experience.

The Senior Software Engineer will work with machine learning teams to deploy AI models, improve performance, and manage production services.