Senior AI/ML Software Engineer, Ads Bidding

Google; New York (NY); On-site; USD 166,000 - 244,000; Full time

Job summary

Google is seeking a Senior Software Engineer specializing in AI/ML for Ads bidding in New York, NY. You will design, train, and deploy models that predict advertiser interactions and optimize auto-bidding, working across research and production teams.

The role emphasizes scalable ML systems, collaboration, and building capabilities for large-scale Ads products. Compensation includes base salary, bonus, equity, and benefits.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++ or Python.
• 3 years of experience with deep learning, recommendations, RL, ML infra, or related ML field.
• 3 years of experience testing, maintaining, or launching software products, and 1 year with design/architecture.
• 3 years of experience with ML infrastructure (model deployment/evaluation/processing).
• Master’s or PhD in CS/Math or related field (preferred).
• 5 years of experience with data structures/algorithms (preferred).
• 1 year in a technical leadership role (preferred).
• Experience developing accessible technologies (preferred).

Responsibilities

• Write and test product or system development code.
• Collaborate through design and code reviews to ensure best practices.
• Improve and simplify models through advanced ML techniques.
• Innovate and iterate on ML model design across the lifecycle.
• Solve complex ML problems by designing, running, and analyzing experiments.

Skills

C++/Python development

ML fundamentals

Mentoring

Education

Bachelor’s degree or equivalent practical experience

Master’s or PhD (preferred)

Job description

Google is seeking a Senior Software Engineer specializing in AI/ML for Ads bidding in New York, NY. You will design, train, and deploy models that predict advertiser interactions and optimize auto-bidding, working across research and production teams.

The role emphasizes scalable ML systems, collaboration, and building capabilities for large-scale Ads products. Compensation includes base salary, bonus, equity, and benefits.