Bachelor's degree or equivalent practical experience.
2 years of programming experience in Python or C.
1 year of end-to-end machine learning experience, including model deployment and evaluation.
1 year of experience in reinforcement learning, ML infrastructure, or a specialized ML field.
Master's degree or PhD in Computer Science or related fields preferred.
2 years of experience with data structures and algorithms preferred.
Experience developing accessible technologies and in analytics preferred.
Responsibilities
Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews.
Evaluate ads performance and identify quality/revenue opportunities using data mining and experimental approaches.
Triage and debug product or system issues by analyzing their sources and impacts.
Enhance user and advertiser value by refining ML models and ad systems.
Benefits
Comprehensive health and wellness programs.
Generous paid time off and holidays.
Retirement savings plans with company matching.
Access to professional development resources.
Flexible work arrangements.
Full Job Description
Minimum 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.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.
Experience in analytics.
About the job
In this role, you will have the opportunity to learn and improve key components of the Google Ads serving system. You will get deep insights into how different interconnected components interact and sometimes compete. You will drive ad quality and feature initiatives to deliver superior experiences for users and advertisers, creating long-term ads value. Your work involves identifying system opportunities or gaps, designing data-driven improvements, and executing launch plans through rigorous metric analysis. If you are passionate about machine learning, GenAI, system design, distributed systems, ads quality/feature, or a combination thereof, you will have the opportunity to drive large-scale projects and optimize the Google Ads ecosystem.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
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.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
