Google
Software Engineer, Search, AI/ML Training Infrastructure
Google, Mountain View, California, us, 94039
Software Engineer, Search, AI/ML Training Infrastructure
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.
Our team mission is to accelerate AI innovation for the discover feed by providing a data and training foundation. Our current technical focus areas include: next‑level training capability, including real‑time training, co‑training ranking and retrieval models. User sequence modeling data quality and efficiency, applying the latest research to improve model quality and reduce computational cost. Scale up large‑language‑model (LLM)‑based users and content understanding. Data availability, innovating on data ingestion and storage to achieve better availability and coverage for model training and serving.
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.
The US base‑salary range for this full‑time position is $141,000–$202,000 plus bonus, equity and benefits. Compensation details listed in US role postings reflect the base salary only and do not include bonus, equity or benefits.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, machine learning, large‑scale distributed systems, large‑language‑model or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
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 or algorithms.
1 year of experience with recommender systems, data analysis, streaming, or machine‑learning infrastructure.
Experience developing accessible technologies.
Responsibilities
Design, implement, deploy and maintain various projects. Collaborate with peer team members (ranking, retrieval) to understand needs and system limitations in order to make informed decisions.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
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.
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Our team mission is to accelerate AI innovation for the discover feed by providing a data and training foundation. Our current technical focus areas include: next‑level training capability, including real‑time training, co‑training ranking and retrieval models. User sequence modeling data quality and efficiency, applying the latest research to improve model quality and reduce computational cost. Scale up large‑language‑model (LLM)‑based users and content understanding. Data availability, innovating on data ingestion and storage to achieve better availability and coverage for model training and serving.
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.
The US base‑salary range for this full‑time position is $141,000–$202,000 plus bonus, equity and benefits. Compensation details listed in US role postings reflect the base salary only and do not include bonus, equity or benefits.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, machine learning, large‑scale distributed systems, large‑language‑model or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
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 or algorithms.
1 year of experience with recommender systems, data analysis, streaming, or machine‑learning infrastructure.
Experience developing accessible technologies.
Responsibilities
Design, implement, deploy and maintain various projects. Collaborate with peer team members (ranking, retrieval) to understand needs and system limitations in order to make informed decisions.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
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.
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