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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.

Design, build, and own iOS and Android test automation in CI to provide quality signals for nightly, weekly, and release builds. Automate real user flows, triage failures, improve test robustness, sync test artifacts with release processes, and collaborate with engineers to shift checks into lower test layers.

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

Drive the hardware product portfolio, manage product development from concept to launch, and lead a small team of product managers.

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

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.

As a Software Engineer, you will enhance our ML infrastructure, improve developer productivity, and ensure application reliability by focusing on backend systems and internal tooling.