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

Oversee and optimize Accounts Receivable and billing functions, lead a team, drive process improvements, and ensure compliance with accounting policies.

Design, prototype, and deploy machine learning models and pipelines to detect environmental changes for Lyft's map. Collaborate with engineers, data scientists, and product teams to analyze data, build POCs, write production-quality code, and evaluate ML systems against business goals.

As a Senior Android Engineer, you will build and maintain foundational systems for Lyft's mobile apps, ensuring stability and enhancing developer experience, while collaborating with cross-functional teams.

The Staff Product Manager will oversee the AI platform and marketplace products at Lyft, manage product roadmaps, metrics, and collaboration with various teams while promoting AI adoption across the company.

As a Software Engineer for Autonomous Vehicles at Lyft, you'll integrate systems, collaborate on design, write code, and lead projects, shaping product direction and ensuring quality.

The Senior Manager, Global Equity Programs will oversee Lyft's global equity functions, partner cross-functionally, manage compliance and automation, and develop employee education programs.

Build and deploy production-grade ML and optimization models for rider pricing and discount systems. Collaborate with data scientists, engineers, and product teams to frame problems, run analyses, and monitor model health and business impact.

As a Billing Operations Specialist at Lyft, you'll oversee billing processes, ensure accuracy, support customer satisfaction, and collaborate with various teams for process improvements.

Lead and mentor data scientists and analysts to improve Lyft's mapping products. Focus on data-driven decision-making and optimize user experience by analyzing large datasets and driving strategic initiatives.

As an Applied Scientist at Lyft, you will develop ML and optimization models for dynamic pricing, collaborate across teams, and implement algorithms to enhance rider experience.