Senior Software Engineer, YouTube Creator Support
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Strong opportunity for experienced engineers in machine learning with potential for significant impact on content management.
- Work on leading-edge technology in a high-impact role
- A chance to mentor and develop junior software engineers
- Engagement in a versatile and innovative industry
- Requires substantial experience in specific technical domains
Pros
- Engagement in cutting-edge projects, especially in machine learning and AI
- Opportunities to mentor junior engineers
- Work in dynamic and innovative environment
Cons
- Demands extensive experience in software development and machine learning (5+ years)
- Tight project deadlines and intense focus on performance metrics
- Limited opportunities for foundational training due to role complexity
Who it's for
Mid-Level / Senior • Hybrid
Good fit
- Experienced software developers with a focus on AI
- Professionals looking to influence product impacts
- Individuals wanting to grow as leaders in tech
Not recommended for
- New graduates without prior coding experience
- Those uncomfortable with rapidly changing project scopes
- Candidates seeking purely individual contributor roles without team dynamics
Motivation fit
Key skills
About the job
Senior Software Engineer, YouTube Creator Support
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Mid
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years 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 in a related ML field.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
- 3 years of experience in testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience with data structures and algorithms.
- Experience in building Large Language Model (LLM) based user-facing systems.
- Experience in building LLM evaluations.
About the job
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. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities
- Write and test product or system development code.
- 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.
- Design and implement solutions in one or more specialized Machine Learning (ML) areas, leverage ML infrastructure, and demonstrate expertise.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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