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

You will build and own end-to-end ML systems, focusing on training, evaluation, deployment, and integration with applications, while ensuring quality and efficiency.

The Senior Machine Learning Engineer will build and own production ML systems, manage end-to-end workflow, debug issues, and mentor others.

As an Applied AI Engineer, you will build and ship AI features, optimize ML models, ensure production reliability, and collaborate with cross-functional teams.

Manage end-to-end recruitment for complex non-technical roles globally, develop sourcing strategies, partner with leadership, and improve recruiting workflows. Act as a strategic advisor on market insights and talent strategies while embedding diversity principles. Track KPIs and ensure a positive candidate experience.

Develop and maintain iOS applications using Swift and SwiftUI with AI features, optimize performance, and collaborate with backend and ML engineers.

The Android Developer will build and maintain AI-integrated Android applications, focusing on UX and system performance while collaborating with backend and ML engineers.

The role involves developing and maintaining cross-platform desktop applications using Electron, focusing on performance, reliability, and real-time collaboration features.

The Lead, People Systems will define and implement the technology strategy to enhance HR and recruiting systems, ensuring they support scalable hiring and data management within the organization.

You will lead the internal tools engineering team, architect scalable solutions, integrate AI into workflows, and manage cross-functional platforms to enhance productivity.

The Head of People Systems will define a strategy for People Systems, build the necessary infrastructure, drive the systems roadmap, and partner with leadership to improve organizational operations and decision-making.