The Global Supply Chain Manager will develop sourcing strategies for electro-mechanical components, manage supplier relationships, negotiate contracts, and drive supply chain efficiency while ensuring quality and compliance.

As a Machine Learning Scientist, develop ML models focusing on NLP, Speech, and Computer Vision while working on various aspects of the ML stack.

The Embedded ML Engineer will develop computer vision algorithms for low-power devices, collaborating with multiple teams and managing end-to-end ML workflows.

The ML Engineer will design and automate evaluation pipelines, curate datasets, deploy voice models, and ensure model performance while scaling workloads.

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.

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 deploy algorithms for gesture detection on embedded hardware, owning the development cycle from design to optimization, while collaborating across teams.

The Product Engineer will design, prototype, and launch AI-powered products, collaborating across teams and running experiments to enhance user experiences.

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