Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Java, C or Python.
• 3 years of experience with software design and architecture.
• Experience building production quality Machine Learning (ML) systems.
• Experience with Machine Learning algorithms and tools.
• Experience in AI/ML quality evaluation and improvement.

Preferred qualifications:

• 8 years of experience with data structures and algorithms.
• 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
• Experience using LLMs to build production quality products/systems.
• Experience establishing team goals, developing roadmaps and scoping projects.
• Passion for quality work and building great product experiences.
• Expertise in leading engineers and collaborating with cross-functional and partner engineering teams with strong communication and leadership skills.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Build an awareness of what's happening in the world and use it to help Google deliver AI-powered fandom and answer experiences for hero verticals.

Ongoing and future projects include building a high personalized GenAI powered feed for sports fans, building out infrastructure and quality systems to make the AIM (AI Information Model) experience for queries significantly more helpful and state of the art, and helping users stay up to date on sports and cultural moments that matter to them via timely and relevant notifications.

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.

The US base salary range for this full-time position is $207,000-$307,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Drive significant sub-area(s) of the team's charter technically as well strategically.
• Drive the design and development of next-generation AI-powered Search experiences. Navigate the full product spectrum, from optimizing LLM quality (signals, retrieval, and ranking) to architecting latency-sensitive serving infrastructure and high-scale offline pipelines.
• Run experiments, drive analysis, and make data-driven tradeoffs for product and quality directions.
• Collaborate closely with cross-functional teams and partner with cross-organizational engineering teams to develop new quality capabilities and build and launch new, visible features.
• Drive a culture of high velocity and high accountability to help Google in a fast changing AI landscape.

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Requisition #: 117265083477697222

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