Embedded ML Engineer – Gesture Recognition

About Sesame Sesame believes in a future where computers are lifelike – with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we’re designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.

About The Role We are seeking an engineer living at the intersection of embedded systems and ML to enable rich, reliable interactions on wearable devices. The ideal candidate will be comfortable working across the software stack, excited by the idea of taking a feature from the whiteboard to a product in customers’ hands. You’ll work closely with hardware, firmware, and product teams to make the interaction feel effortless and consistent for every user, in every environment.

Responsibilities

• Design, train, and deploy algorithms for gesture detection on ultra-low-power embedded hardware.
• Evaluate and adapt larger ML models for running on mobile class hardware.
• Own the full development cycle : system design, data collection & curation, synthetic data generation, model training & evaluation, and on-device optimization.
• Collaborate with electrical, mechanical, and product teams to integrate algorithms with evolving hardware designs.
• Pick promising approaches from the literature to bet on, and create new approaches where necessary to achieve our unique goals.

Required Qualifications

Preferred Qualifications

Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities—contact careers@sesame.com for assistance.

Full-time Employee Benefits

Benefits do not apply to contingent / contract workers

Compensation Range : $175K – $280K

#J-18808-Ljbffr