Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The role involves developing ML models for 3D computer vision, collaborating across teams, and deploying models on embedded devices.

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.

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.

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.

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.

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.

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

The Embedded OS Architect will design and develop a custom operating system for AI-driven applications, focusing on performance, security, and hardware/software integration.

The Embedded Engineer will design, implement, and test embedded software, coordinating hardware design, development, and debugging, while leading efforts to ship complex embedded systems.

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