Sesame

Own mobile test automation for Sesame’s iOS and Android voice companion, improving coverage, failure triage, and release confidence. The role combines hands-on automation development with quality strategy across frequent releases.

Research Engineer developing and shipping deep-learning voice and multimodal models for Sesame’s real-time companion. The role combines ML research, evaluation, production software engineering, and large-scale training and inference optimization.

Build the infrastructure behind Sesame’s voice-agent platform, from scalable Kubernetes and ML systems to low-latency audio processing. This hands-on role combines backend engineering, reliability, developer tooling, and technical direction.

Build highly usable internal tools, data workflows, and cloud infrastructure that help Sesame’s ML researchers and engineering teams develop and evaluate voice and conversational AI. You’ll combine full-stack development with developer productivity, reliability, and workflow automation.

Build the iOS companion app that connects Sesame’s next-generation wearable devices to the digital world. You’ll shape polished, high-performance mobile experiences spanning setup, personalization, account management, and firmware updates.

Build Sesame’s design-forward standalone iOS companion app and help shape the company’s mobile and web strategy. This role combines deep iOS performance and UI expertise with technical leadership on a new consumer product.

Optimize the high-performance serving layer behind Sesame’s LLM, speech, and vision models. You’ll extend modern serving frameworks, improve inference speed and cost, and help power a new category of consumer voice-agent products.