Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Promising role focusing on AI/ML solutions, with strong compensation and career growth potential within YouTube's ecosystem.
- Influence AI-driven technologies on one of the largest global platforms
- Competitive salary for impactful engineering roles
- Strong emphasis on innovation and collaborative solutions
- Requires significant technical and problem-solving skills
Pros
- Involvement in cutting-edge AI/ML recommendations systems for a leading platform
- Significant exposure to product development and user engagement
- Competitive salary within the tech sector focused on ML solutions
Cons
- Requires a high level of technical expertise and experience
- High-paced environment requesting flexibility and creativity
- Collaborative nature means potential for frequent changes in direction
Who it's for
Mid/Senior Level • Office with collaboration and team projects
Good fit
- Engineers experienced in AI/ML who want to work on a major platform
- Candidates eager to leverage tech for user-focused applications
- Professionals with collaborative skills in a dynamic environment
Not recommended for
- Entry-level engineers without solid AI/ML experience
- Those preferring roles with clear hierarchies and less collaboration
- Individuals uncomfortable with adapting to rapid changes
Motivation fit
Key skills
About the job
Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube
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Mid
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with programming in Python and C++.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production; and experience building architecture.
- 3 years 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 field.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
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.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Write and test 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.
- Design and implement recommendation systems models across different domains, leverage ML infrastructure, and contribute to architecture design.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
