Senior Software Engineer, AI/ML Infrastructure, Ads Safety

Google•Pittsburgh, PA

1d•$174,000 - $252,000

About The Position

Google software engineers develop technologies that help billions of users connect, explore, and interact with information. Engineers work on projects critical to Google's needs and may move between teams and projects as business needs evolve, taking on problems across the full stack. The Ads Safety team works to keep Google Ads products and networks safe from malware, fraud, and illicit products, comply with global regulations, and provide positive experiences for users and advertisers. This team builds the core infrastructure, developer tooling, and automated safety guardrails for every stage of an ML/LLM classifier's lifecycle. Its goal is to provide a standardized developer experience for authoring, evaluating, launching, monitoring, and decommissioning classifiers, so launches across Ads Safety are safe, measurable, and reliable at Google scale. Google Ads applies machine learning and Generative AI models, including Gemini, to support its global business. The work affects users and advertisers by helping protect users from harm, improve ad quality, and optimize campaigns for advertiser return on investment. The role involves collaboration with teams such as Google Research and DeepMind. Individual pay is determined by job-related skills, experience, and relevant education or training. The listed US compensation is $174,000–$252,000 USD, plus a 15% bonus target, equity, and benefits.

Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience programming in C++.
3 years of experience testing, maintaining, or launching software products.
1 year of experience with software design and architecture.
3 years of experience developing large-scale infrastructure, distributed systems, or networks, or experience with compute technologies, storage, or hardware architecture.

Nice To Haves

Master’s degree or PhD in Computer Science or a related technical field.
5 years of experience with data structures and algorithms.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.

Responsibilities

Write and test product or system development code.
Participate in or lead design reviews with peers and stakeholders to decide among available technologies.
Review code developed by other developers and provide feedback to ensure best practices, including style, code submission, accuracy, testability, and efficiency.
Contribute to existing documentation or educational content and adapt it based on product or program updates and user feedback.
Triage product or system issues and debug, track, and resolve them by analyzing their sources and impacts on hardware, network, or service operations and quality.