Google · 6 hours ago
Staff Software Engineer, Machine Learning, Search Discover Personalization
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. As a Staff Software Engineer, you will design, develop, test, deploy, maintain, and enhance software solutions, specifically focusing on personalized user models and machine learning applications within the Discover Personalization team.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Design and implement personalized user models to optimize for user happiness, including Neural Deep Retrieval models, Deep Neural Network Ranking/Scoring models, User/Content Clustering models, LLM-based Retrieval Augmented Generation models, and more
Build state-of-the-art user and content clustering models to enable core personalization and ranking use cases
Enhance model performance and personalization precision/recall through advanced modeling techniques such as transformers, distillation, reward shaping, multi-task learning, neural bandits, etc. and capabilities through feature engineering, automatic parameter tuning, label quality engineering, etc
Scale the model's applications to a multitude of modalities (content, queries, videos and notifications) and use cases (retrieval, ranking, content generation, diversification, etc.)
Create next-generation realtime ML models that can capture new user interests and world trends in seconds and scale model training and serving to billions of users
Qualification
Required
Bachelor's degree or equivalent practical experience
8 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python
8 years of experience in software development
5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture
Preferred
8 years of experience with data structures and algorithms
6 years of ML or Quality experience working on recommendation systems
Experience in recommender systems, clustering algorithms, SQL, deep model
Experience in C++, Dremel/F1 and TensorFlow
Experience working with research
Ability to drive quality projects end-to-end from design to implementation to eventual launch
Benefits
Bonus
Equity
Benefits
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Recent News
The Indian Express
2025-10-08
2025-10-04
2025-10-04
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