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Lead data collection and annotation initiatives for audio data at Sesame. Collaborate with teams to gather requirements, manage resources, and ensure quality delivery of data.

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.

Support two senior founders with high-level executive assistance: manage complex calendars, anticipate and resolve operational issues, prepare meetings and materials, coordinate domestic and international travel, act as primary liaison, handle confidential information, drive strategic initiatives, and improve processes across the organization.

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.

Build and maintain production data pipelines and infrastructure to prepare multimodal conversational, voice, sensor, and telemetry data for ML training and evaluation. Implement dataset versioning, lineage, quality monitoring, and tooling to enable reproducible, discoverable datasets and cost/performance-optimized large-scale processing while enforcing data governance and privacy.

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.