Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience with data analysis, data manipulation, and statistical methods.
- 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience developing accessible technologies.
- Knowledge of machine learning concepts, algorithms, best practices and building large language models.
- Excellent coding skills in Python and C .
- Excellent problem-solving, investigative, collaboration, communication and team-work skills.
About the jobJoin Discover Ranking to work on some of the most challenging problems in AI-driven personalization. We're building one of the world's most intelligent content recommendation engine, using advanced deep learning models like DeepNow, exploring LLMs, and developing novel ranking paradigms. Your work will directly influence what millions of users see daily, optimizing for engagement, satisfaction, and more.
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: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - 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.
