Software Engineer, Search, Ranking and Applied Machine Learning jobs in United States
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Google · 7 hours ago

Software Engineer, Search, Ranking and Applied Machine Learning

Google is a leading technology company that develops next-generation technologies to enhance how billions of users connect and interact with information. The role involves working on machine learning projects, focusing on training, modeling, and deploying models to improve search capabilities and user experience.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Develop product or system code by training ML models to predict user needs, running end-to-end experiments and launches that improve Search, creating and improving data pipelines and serving infrastructure, and analyzing data, making conclusions and generate new ideas
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst 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
Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing

Qualification

C++Machine LearningRecommendation SystemsPythonData StructuresAlgorithmsML InfrastructureData AnalysisDebuggingVersatilityCollaboration

Required

Bachelor's degree or equivalent practical experience
2 years of experience with software development in C++ or more programming languages, or 1 year of experience with an advanced degree
2 years of experience with machine learning and data analysis or 1 year of experience with an advanced degree
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, data processing, debugging)

Preferred

Master's degree or PhD in Computer Science or related technical fields
2 years of experience with data structures and algorithms
Experience with real-world applications of ML data analysis skills, C++ and Python with Google-scale, user-facing products
Experience developing accessible technologies

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 Company
Total Funding
$26.1M
Key Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M

Leadership Team

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Sundar Pichai
CEO
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Thomas Kurian
CEO - Google Cloud
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Company data provided by crunchbase