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Staff Software Engineer, AI/ML GenAI, YouTube

Google

New York (NY)

On-site

USD 197,000 - 291,000

Full time

24 days ago

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Job summary

A leading tech company is seeking a Staff Software Engineer specializing in AI/ML for YouTube. The role involves designing large-scale software solutions, providing technical leadership, and optimizing ML infrastructure. Ideal candidates will have extensive experience in software development and GenAI techniques. This position offers a competitive salary and the opportunity to work on high-impact projects that shape the future of technology.

Qualifications

  • 8 years of experience in software development.
  • 5 years of experience with GenAI techniques.

Responsibilities

  • Design, develop, test, and deploy large-scale software solutions.
  • Provide technical leadership on high-impact projects.

Skills

Software Development
GenAI Techniques
Machine Learning Design
Software Testing
Software Architecture

Education

Bachelor’s Degree
Master’s Degree
PhD in Engineering

Job description

Staff Software Engineer, AI/ML GenAI, YouTube

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info_outline

info_outline X Info Note: By applying to this position, you will have an opportunity to share your preferred working location from the following: Cambridge, MA, USA; New York, NY, USA; San Bruno, CA, USA.

Minimum Qualifications
  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience with state-of-the-art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or related concepts (language modeling, computer vision).
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, fine-tuning).
  • 5 years of experience testing and launching software products.
  • 3 years of experience with software design and architecture.
Preferred Qualifications
  • Master’s degree or PhD in Engineering, Computer Science, or a related field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
About the Job

Google's software engineers develop next-generation technologies that change how billions connect, explore, and interact with information and each other. Our products handle massive-scale information and extend beyond web search into areas like distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile development. As a software engineer, you will work on critical projects with opportunities to switch teams and projects as our business evolves. We seek versatile engineers with leadership qualities and enthusiasm for tackling new problems across the full tech stack.

At YouTube, we believe everyone deserves a voice. We aim to foster community and sharing through stories, exploring new ideas, solving real problems, and having fun—together. Our goal is to empower people to share their stories, explore passions, and connect globally, at the speed of culture.

The US base salary range for this full-time position is $197,000-$291,000 plus bonus, equity, and benefits. Salary ranges depend on role, level, and location, and individual pay is influenced by skills, experience, and education. Your recruiter will provide specific salary details during hiring.

Please note that listed salaries reflect base pay only and do not include bonuses, equity, or benefits. Learn more about Google benefits.

Responsibilities
  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
  • Provide technical leadership on high-impact projects, managing priorities, deadlines, and deliverables.
  • Align teams on goals, outcomes, and timelines; influence and coach engineers across distributed teams.
  • Lead GenAI solution design, optimize ML infrastructure, and develop data preparation and model tuning strategies.

Google is committed to equal opportunity employment, fostering a diverse workforce, and ensuring a culture of belonging. We prohibit discrimination based on race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related conditions, criminal history, or other protected categories. See Google's EEO Policy, Know your rights, Belonging at Google, and How we hire for more information.

English proficiency is required for all roles to support global collaboration. Google does not accept agency resumes and is not responsible for fees related to unsolicited resumes.

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