Staff Engineer, Search by Google

Job Description

About the job:

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.

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.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• Experience with software development, search quality, search infrastructure.
• Experience with machine learning, performance evaluation, product development.

Preferred qualifications:

• Experience with the Search or Knowledge Engine stack, Front-end development.
• Experience building ML models, including LLM technologies.
• Passion for LLM-related research and exploration.

Responsibilities:

• Build LLM-powered features on search.
• Work on full-stack development.
• Manage Large Language Model (LLM) development, including prompt engineering, supervised fine-tuning, RM/RL, Quality iterations etc.