Senior ML Engineer – AI Content Quality & Personalization

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

Job summary

Google's software engineers develop the next-generation technologies that enable billions of users to connect, explore, and interact with information. You will work on end-to-end personalization and system optimization, integratingFeedback loop signals to enhance model performance for large-scale surfaces.

In this role, you will focus on advanced AI-driven content and quality evaluation, collaborating across teams to deploy reliable machine learning models and improve content quality for

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.

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

Software development

ML design

ML infrastructure

Quality evaluation

Recommendation systems

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD in Engineering/CS

Job description

Google's software engineers develop the next-generation technologies that enable billions of users to connect, explore, and interact with information. You will work on end-to-end personalization and system optimization, integratingFeedback loop signals to enhance model performance for large-scale surfaces.

In this role, you will focus on advanced AI-driven content and quality evaluation, collaborating across teams to deploy reliable machine learning models and improve content quality for