Staff AI/ML Engineer, Recommender Systems at Scale

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Google is seeking an experienced Software Engineer to design and enhance large-scale software solutions at their Mountain View, CA campus. Candidates should have a Bachelor’s degree and significant experience in software development, recommendation systems, and technical leadership. This role involves leading impactful projects and optimizing machine learning infrastructure. The position offers a competitive salary range of $207,000 to $300,000 annually, plus bonuses and benefits, providing an excellent opportunity to contribute to innovative technologies.

Qualifications

• 8 years of experience in software development.
• 5 years of experience building and deploying recommendation systems models.
• 5 years of experience leading ML design and optimizing ML infrastructure.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.

Responsibilities

• Design, develop, test, deploy, maintain, and enhance large scale software solutions.
• Provide technical leadership on high-impact projects.
• Facilitate alignment across teams on goals and timelines.
• Lead design and implementation of recommendation systems.

Skills

Software development

Recommendation systems

Technical leadership

Data structures/algorithms

Machine learning design

Education

Bachelor’s degree or equivalent

Master’s degree or PhD in related field

Job description

Google is seeking an experienced Software Engineer to design and enhance large-scale software solutions at their Mountain View, CA campus. Candidates should have a Bachelor’s degree and significant experience in software development, recommendation systems, and technical leadership. This role involves leading impactful projects and optimizing machine learning infrastructure. The position offers a competitive salary range of $207,000 to $300,000 annually, plus bonuses and benefits, providing an excellent opportunity to contribute to innovative technologies.