Senior Staff ML Software Engineer, AI Generated Content Quality, Search Discover Feed

Google Inc.; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google is seeking a Senior Staff ML Software Engineer in Mountain View to advance AI-generated content quality for the Discover and Notifications surfaces. You will design scalable ML systems, integrate evaluation frameworks, and collaborate across teams to improve content quality at massive scale.

The role focuses on end-to-end personalization, system optimization, and leveraging feedback signals to enhance model performance for billions of users globally.

Qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience in software development.
• 7 years leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience building quality evaluation frameworks for large language models.
• Experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.

Responsibilities

• Lead the development of advanced AI-generated content (AIGC) recommendation frameworks and agentic flows to generate high-quality content for Discover and Notifications.
• Build and implement advanced offline and online quality evaluation frameworks for LLMs to ensure content factuality, freshness, and coherence.
• Conduct advanced quality evaluations and leverage dense recommendation signals and feedback to improve the overall performance of the AIGC stack.
• Drive end-to-end modeling for the personalization flow, focusing heavily on inventory quality, retrieval, ranking, user understanding, and budgeting predictions.
• Optimize ML inference and resolve system-level bottlenecks to improve serving efficiency for low-latency, high queries-per-second (QPS) global surfaces.

Skills

ML design

Model deployment

Data processing

Fine-tuning

Quality evaluation

Recommendation systems

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD in Engineering/CS

Job description

Senior Staff ML Software Engineer, AI Generated Content Quality, Search Discover Feed

Share Senior Staff ML Software Engineer, AI Generated Content Quality, Search Discover Feed

corporate_fare Google place Mountain View, CA, USA

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience building quality evaluation frameworks for large language models.
• Experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• Experience building advanced offline and online quality evaluation frameworks for Large Language Models (LLMs).
• Experience integrating advanced quality evaluation frameworks with downstream recommendation signals.
• Experience mentoring executive engineers and influencing broader organizational machine learning strategies.

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.

The team leverages AI-generated content across major surfaces, ensuring optimal user experience at a massive scale. In this role, you will focus on end-to-end personalization and system optimization, integrating feedback loop signals to enhance model performance for over 4 billion users.

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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google .

• Lead the development of advanced AI-generated content (AIGC) recommendation frameworks and agentic flows to generate high-quality content for Discover and Notifications.
• Build and implement advanced offline and online quality evaluation frameworks for LLMs to ensure content factuality, freshness, and coherence.
• Conduct advanced quality evaluations and leverage dense recommendation signals and feedback to improve the overall performance of the AIGC stack.
• Drive end-to-end modeling for the personalization flow, focusing heavily on inventory quality, retrieval, ranking, user understanding, and budgeting predictions.
• Optimize ML inference and resolve system-level bottlenecks to improve serving efficiency for low-latency, high queries-per-second (QPS) global surfaces.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.