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

About the role

MINIMUM QUALIFICATIONS:

• 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

[https://www.google.com/about/careers/applications/benefits/].

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.