10000 Equity research Jobs

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

AI & Research Accelerator (AIRX) and On-Device Intelligence (ODI) are two parts of the recently formed AI Innovation and Research (AIR) organization - the catalyst for AI innovation in Platforms & Devices (P&D).

The AIRX team aims to develop and launch cutting edge AI experiences across priority P&D initiatives. AIRX partners closely with P&D product teams, guiding them through every step of AI integration, from ideation to deployment.

On-Device Intelligence researches, builds, and ships technology to enable OS-level Agentic Experiences with an emphasis on on-device, and enables next generation Gemini-based user interactions.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

• Write product or system development code. 
  
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
  
• Develop, train, evaluate, and deploy AI/ML models, ensuring their robustness, scalability, and successful integration into production systems.
• Collaborate with product teams and research teams to deliver AI-based features. Identify common needs across multiple engagements and build shared infrastructure and models which will serve as a common toolset and blueprints to deliver the next engagements faster.