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Google · 8 hours ago

Software Engineer, Data AI/ML, YouTube Ads Relevance

Mountain View, CA, USA

Full-time

Onsite

Entry, Mid Level

$141K/yr - $202K/yr

2+ years exp

Google is a leading technology company that develops next-generation technologies impacting billions of users. The Software Engineer role focuses on building and evolving product and service recommendation systems to enhance YouTube ads relevance and user experience.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Write product or system development code

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

Recommendation systemsMachine Learning InfrastructureLarge-scale data processingSoftware developmentData structuresAlgorithmsGenerative AIGenerative ModelingAccessible technologies

Required

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

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

3 years of experience with large-scale data processing, data analytics, large-scale distributed systems, and machine learning or 2 years of experience with an advanced degree

2 years of experience with data structures and algorithms

1 year experience with Machine Learning Algorithms, Machine Learning Infrastructure, Machine Learning Architecture, Generative AI, Generative Modeling, Generative AI Agent

Experience developing accessible technologies

Benefits

Bonus

Equity

Benefits

Company

Google

Glassdoor4.4

Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.

Founded in 1998

Mountain View, California, USA

10001+ employees

https://www.google.com

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

Sundar Pichai

CEO

Thomas Kurian

CEO - Google Cloud

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Company data provided by crunchbase