AI/ML Software Engineer III — Ads Platform

Google; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking a software engineer to advance machine learning and large-scale system design within the Google Ads ecosystem. You will join a team responsible for ad quality, feature initiatives, and data-driven improvements across the full stack.

Qualifications include a bachelor’s degree or equivalent, 2 years of Python/C++ programming, and 1 year in end-to-end ML tasks such as deployment or evaluation. Strong ML background with RL exposure is a plus.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with end to end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with one or more of the following: reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

Responsibilities

• Write 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).
• Evaluate ads performance and find quality/revenue opportunities through open-ended data-mining utilizing offline approaches (e.g., log analysis, machine learning, simulations, headroom analysis), and experiment approaches (e.g., holdback, counterfactual, tuning grid). Develop metrics, pipelines, and dashboards to guide projects and measure launch impacts.
• 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.
• Enhance user, advertiser, and Google value, focusing on offline/omni shopping ads by refining ML models, auction, ads triggering (query understanding), bidding, scoring, content generation and selection, format/UI, etc.

Skills

Python

C++

Machine learning

Reinforcement learning

ML infrastructure

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Computer Science

Data structures and algorithms

Job description

Google is seeking a software engineer to advance machine learning and large-scale system design within the Google Ads ecosystem. You will join a team responsible for ad quality, feature initiatives, and data-driven improvements across the full stack.

Qualifications include a bachelor’s degree or equivalent, 2 years of Python/C++ programming, and 1 year in end-to-end ML tasks such as deployment or evaluation. Strong ML background with RL exposure is a plus.