Top Engineering Jobs in San Francisco, CA

As a Full Stack Software Engineer, you'll develop features for the AI-powered Advisor product, implement APIs, and enhance product architecture while collaborating closely with teams and ensuring strong testing practices.

As a Software Engineer on the Data Platform team, you will develop data pipelines for ML training, maintain infrastructure, and support product development and analytics.

The role involves managing and optimizing infrastructure using Terraform and Kubernetes, ensuring system reliability and observability, and collaborating with software engineers to enhance operational excellence.

As a Sr. Software Engineer, Backend, you will develop AI-powered solutions for clinical documentation and medical coding, collaborating with cross-functional teams to enhance SaaS products and deliver actionable insights for healthcare organizations.

Lead the Machine Learning Engineering team at AKASA, focusing on improving ML capabilities, model deployment, and infrastructure development, while managing and mentoring engineers.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.