Senior Software Engineer, Recommendations, Rankings, Predictions, Search Discover

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking software engineers to advance the world’s most intelligent content recommendation engine. You will work on deep learning models for retrieval, ranking, and personalization, impacting billions of users daily.

Expect to tackle AI-driven challenges, build scalable systems, and collaborate across teams in a fast-paced environment. Interviews are frequently in-person; you’ll contribute to architecture design, model evaluation, and system performance while exploring cutting-edge

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of software development experience in one or more languages.
• 3 years testing, maintaining, or launching software products, and 1 year of design/architecture experience.
• 3 years building/retrieving/ ranking/personalization models in production; building architecture.
• 3 years ML infrastructure including deployment, evaluation, optimization, data processing, debugging.

Responsibilities

• Develop and test new ranking algorithms and model features.
• Analyze experiment results to measure impact and guide improvements.
• Collaborate with engineers and researchers to implement new ideas.
• Contribute to quality and reliability of ranking systems; explore personalization techniques.
• Design and implement recommendation systems models across domains, leverage ML infrastructure, and contribute to architecture.

Skills

Software development

Programming languages

ML infrastructure

Data analysis

Recommendation systems

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in CS or related field

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production; and experience building architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 3 years of experience with data analysis, data manipulation, and statistical methods.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• Knowledge of machine learning concepts, algorithms, best practices and building large language models.
• Excellent coding skills in Python and C++.
• Excellent problem-solving and investigative skills, with effective collaboration, communication and team-work 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.

We're building the world's most intelligent content recommendation engine, using advanced Deep learning models like DeepNow, exploring LLMs, and developing novel ranking paradigms.

In this role, you will manage some of the most challenging problems in AI-driven personalization. Your work will directly influence what millions of users see daily, optimizing for engagement, satisfaction. We thrive on innovation and impact. If you're eager to work on AI at scale, this is your team.

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Develop and test new ranking algorithms and model features
• Analyze experiment results to measure impact and guide improvements.
• Collaborate with other engineers and researchers to implement new ideas.
• Contribute to the quality and reliability of the ranking systems. Explore new techniques to advance content understanding and personalization.
• Design and implement recommendation systems models across different domains, leverage ML infrastructure, and contribute to architecture design.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .