Jobs at Sesame (sesame.com)

The ML Engineer will design, build, and automate evaluation pipelines, curate datasets, train and deploy voice models, monitor performance, and manage production code across various stages of the machine learning lifecycle. They will also collaborate closely with research and infrastructure teams to enhance user-facing systems.

Lead the design process, collaborate with teams, create prototypes, conduct research, and advocate for user-centered design principles to enhance products.

Build and lead the development of Sesame's iOS companion app while collaborating with engineering, design, and product teams to enhance user experience.

Design and build backend systems for real-time streaming and AI workflows, ensuring scalability and reliability while optimizing performance and developing frameworks for other engineers.

The Backend Infrastructure Engineer at Sesame will develop secure, scalable infrastructure, focusing on voice interface, automation, and systems design for efficient service delivery.

Design and build core infrastructure for ML training, develop audio processing pipelines, and set technical direction for the team.

As an ML Scientist, you'll develop and improve ML models, work on the ML stack, and innovate new approaches in NLP, Speech, and Computer Vision.