San Francisco, CA
AI-powered smart glasses with lifelike voice companions
Sesame builds lifelike AI voice companions like Maya and Miles that enable natural, emotionally resonant conversations with low latency. They develop lightweight eyewear hardware for all-day wear, providing high-quality audio and visual observation capabilities. This creates always-on personal AI agents to assist users in daily life.
Build and own iOS and Android test automation in CI for Sesame's voice companion app. Deliver quality signals for releases, triage failures, automate key user flows, and partner with engineers to improve testing and release reliability. Requires 7-8 years QA experience including 4+ years of mobile automation.
Creative Director to shape Sesame's visual, auditory, and experiential brand identity from day one. Own creative across campaigns, content, social, experiential, and hardware/software touchpoints while building and running an in-house studio, directing agencies, and partnering with Product and Industrial Design. Requires 8+ years consumer brand experience with hands-on authorship and in-house background.
Research-oriented Machine Learning Scientist developing multimodal ML models (NLP, Speech, Computer Vision) for lifelike voice agents. Requires published papers in large-scale deep learning and familiarity with SOTA AI.
Build and own automated test rigs and CI/CD-integrated frameworks for Sesame's Cypress wearable AI hardware. Design stress, throughput, long-duration audio, and battery tests; create performance dashboards that gate releases. Requires embedded test automation experience, Bluetooth/wireless expertise, and Python scripting in a fast-moving early-stage environment.
Lead optical channel strategy and secure foundational high-signal accounts for Sesame's premium voice-agent hardware. Build and scale the national sales organization after establishing early credibility through strategic retailer relationships. Requires 10+ years optical/eyewear sales leadership experience.
Design and develop manufacturing tooling, fixtures, and jigs for consumer electronics and wearable products. Requires 7+ years experience, expert CAD skills, deep knowledge of materials and processes, and collaboration with international fabrication partners.
Build and maintain production data pipelines that prepare conversational, voice, and multimodal data for ML model training and evaluation. Partner closely with ML engineers to deliver high-quality, versioned datasets and infrastructure.
Research Engineer building and deploying production voice and multimodal ML models. Requires expert PyTorch, large-scale model training experience, and shipping user-facing ML systems.
Leads customer support for AI voice agent hardware/software products, building scalable processes, team, and self-service tools from scratch. Partners cross-functionally to drive product improvements using customer insights; requires 5+ years support experience with 2+ in management.
Builds and scales core infrastructure including ML training/serving, Kubernetes clusters, and low-latency voice/audio pipelines. Requires 3+ years in infrastructure/ML systems, hands-on reliability engineering, and Kubernetes expertise.
Leads data collection and annotation initiatives for audio/ML projects, collaborating with research/product teams to gather requirements, manage resources/vendors, and ensure high-quality delivery. Requires 5+ years with ML teams and data labeling experience.
Owns end-to-end sensor system performance for consumer wearables, from hardware selection and integration through firmware, signal processing, and ML integration. Requires 5+ years in systems engineering with expertise in DSP, embedded systems, and shipping high-volume products.
Build and maintain React-based web tools and Python infrastructure for ML data pipelines and internal developer productivity at a voice AI startup. Collaborate with ML engineers and researchers, focusing on usability, reliability, and cloud deployment. Requires 4+ years full-stack experience.
Builds developer infrastructure tools including CI/CD pipelines, build systems, and self-serve frameworks to enable fast, reliable engineering workflows. Requires 5+ years experience with Python/TypeScript, automation focus, and dev tooling expertise.
Designs luxury fashion eyewear blending aesthetics, advanced materials, and user experience for personal computing devices. Collaborates with engineers on concepts, prototypes, fit testing, and production-ready frames requiring 5+ years experience and strong 2D/3D design skills.
Develops iOS companion app for wearable devices, integrating with hardware/firmware for seamless setup, account management, OTA updates, and personalized experiences. Requires strong iOS frameworks knowledge, Core Bluetooth expertise, and experience with IoT/wearables.
Oversees end-to-end hardware development for wearable consumer electronics, managing cross-functional teams, vendors, schedules, budgets, and risks from concept to mass production. Requires 7+ years in hardware program management and bachelor's in engineering.
Builds and leads development of a standalone iOS companion app for voice agents, focusing on design-forward, low-latency UI and complex features. Ships production apps with expertise in modern iOS patterns, real-time comms, and performance optimization.
Leads hardware product portfolio for AI companion devices, owning full lifecycle from concept to launch and managing a small PM team. Requires 10+ years PM experience with proven consumer hardware launches and deep hardware processes knowledge.
Optimizes and extends ML model serving infrastructure for LLMs, speech, and vision models, focusing on high-throughput, low-latency inference using frameworks like VLLM and SGLang. Requires deep PyTorch expertise, systems programming, and performance engineering for reliable production deployment.
Leads end-to-end product design for web and mobile apps, creating wireframes, prototypes, and UI specs while collaborating with PMs and engineers. Requires 7+ years experience, strong visual/interaction design skills, user research, and a robust portfolio.
Designs and owns electrical architecture for compact wearable hardware systems with MCU/SOC/FPGA, battery, sensing, RF, and audio. Requires 10+ years EE experience shipping complex battery-powered consumer electronics, strong PCB skills, and cross-functional collaboration.