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

As a Staff or Principal Research Engineer, you will develop, deploy, and enhance models for Biometric Recognition and Presentation Attack Detection. Your role includes leading the development of deep learning models, maintaining training pipelines, and overseeing the entire model lifecycle, focusing on accuracy and reliability for a user base of over a billion.

The Executive Assistant to the CEO provides high-level administrative support, manages complex calendars, coordinates meetings, ensures the CEO is prepared for engagements, and assists in organizing team events while also maintaining communication with internal and external stakeholders.

The Head of Concept Engineering will lead a team to develop and fabricate prototype devices, integrating mechanical, electrical, and firmware components. This role involves designing a new Concept lab, overseeing the creation of parts, and ensuring devices meet required specifications for functionality and user experience.

The Senior Product Marketing Manager will drive the adoption of World ID by building marketing strategies, educating users and developers, creating product and partnership collateral, engaging with the developer ecosystem, and conducting market research. The person will ensure clear communication of World ID's value while collaborating with various teams to enhance user understanding and integration.

The Legal Operations Manager will oversee the contract management lifecycle, improve legal operations and systems, manage relationships with vendors, and support financial relationships with law firms. The role involves collaboration with various teams to ensure compliance and effective service delivery.

Lead the Device Software organization, responsible for biometric image capture, anti-fraud checks, and secure backend communication. You'll create software strategy, conduct code reviews, and ensure performance, correctness, and security of code deployed to a global fleet of Orbs. Collaborate with embedded systems, security, and machine learning specialists, focusing on high-volume production devices.