Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube

Google; Mountain View (CA); On-site; USD 197,000 - 291,000; Full time

Job summary

An established industry player is seeking a talented software engineer to join their dynamic team. In this role, you will develop next-generation technologies that impact billions of users worldwide. You'll work on critical projects, leading the design and implementation of sophisticated recommendation systems while optimizing machine learning infrastructure. This position offers a unique opportunity to collaborate with cross-functional teams, influence project outcomes, and drive innovation in a fast-paced environment. If you're passionate about technology and eager to tackle new challenges, this is the perfect opportunity for you to grow your career.

Qualifications

• 8 years of experience in software development with a focus on recommendation systems.
• 5 years leading ML design and optimizing ML infrastructure.

Responsibilities

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

Skills

Software Development

Machine Learning

Recommendation Systems

Technical Leadership

Data Structures/Algorithms

Software Design and Architecture

Education

Bachelor’s degree

Master’s degree or PhD

Job description

Minimum qualifications:

1. Bachelor’s degree or equivalent practical experience.
2. 8 years of experience in software development.
3. 5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.
4. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5. 5 years of experience testing, and launching software products.
6. 3 years of experience with software design and architecture.

Preferred qualifications:

1. Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
2. 8 years of experience with data structures/algorithms.
3. 3 years of experience in a technical leadership role leading project teams and setting technical direction.
4. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

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:

1. Design, develop, test, deploy, maintain, and enhance large scale software solutions.
2. Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
3. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
4. Lead the design and implementation of recommendation systems, optimize ML infrastructure, and guide the development of model architecture.

The US base salary range for this full-time position is $197,000-$291,000 + 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 (https://careers.google.com/benefits/) .

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.