Jobs at Sesame (sesame.com)

The Hardware NPI Program Manager oversees the hardware development for consumer electronics from concept to mass production, ensuring cross-functional collaboration, managing schedules, budgets, and risks, while communicating with stakeholders.

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.

Design and own an automated hardware test rig integrated with CI/CD to build, flash, run, and report tests for a wearable AI device. Implement connectivity and throughput stress tests, long-duration audio and battery/thermal characterization, API-level tests, dashboards with regression flags, diagnostic tooling, and automation-driven bug triage. Establish nightly and weekly runs and partner with firmware to define automated vs. manual coverage.

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.

Lead Sesame's optical distribution strategy: identify and secure influential optical accounts, manage retailer relationships from introduction to launch, build forecasting and sales processes, recruit and scale a national optical sales organization, and represent the brand across the optical industry.

The Sensing Systems Engineer will oversee sensor technology integration within consumer wearables, ensuring optimal performance from hardware to software while collaborating across teams to achieve seamless user experiences.

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 iOS Engineer, you will build the Sesame app for wearable devices, collaborating with design and firmware teams to create a seamless user experience while maintaining code quality and performance.