Senior Software Engineer, AI/ML Infrastructure, Ads Safety

Responsibilities

The engineer will develop and test core infrastructure and automated safety guardrails for ML/LLM classifiers. They will also participate in design reviews, conduct code reviews, and triage system issues to ensure reliability and quality.

Requirements

Candidates must have a bachelor's degree, at least 5 years of C++ experience, and 3 years of experience in software product development and large-scale infrastructure. A master's or PhD in a technical field is preferred, along with technical leadership experience.

Skills

• C++
• Software design
• Software architecture
• Distributed systems
• Infrastructure development
• Data structures
• Algorithms
• Machine learning
• LLM
• Technical leadership
• Debugging
• Code review
• System design
• Security
• Data storage

Benefits

• Bonus
• Equity
• Health Insurance

About this role

MINIMUM QUALIFICATIONS:

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

PREFERRED QUALIFICATIONS:

* 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.

ABOUT THE JOB:

Google's software engineers develop the next-generation technologies that change
how billions of users connect, explore, and interact with information and one
another. Our products need to handle information at massive scale, and extend
well beyond web search. We're looking for engineers who bring fresh ideas from
all areas, including information retrieval, distributed computing, large-scale
system design, networking and data storage, security, artificial intelligence,
natural language processing, UI design and mobile; the list goes on and is
growing every day. As a software engineer, you will work on a specific project
critical to Google’s needs with opportunities to switch teams and projects as
you and our fast-paced business grow and evolve. We need our engineers to be
versatile, display leadership qualities and be enthusiastic to take on new
problems across the full-stack as we continue to push technology forward.

The Ads Safety team has a mission to ensure that Google Ads products and
networks are safe, free from malware, fraud, and illicit products, compliant
with global regulations, and that our users and advertisers have great
experiences.

Within Ads Safety, this team builds the core infrastructure, developer tooling,
and automated safety guardrails that power every stage of an ML/LLM classifier's
lifecycle.

Our mission is to provide a seamless, standardized developer experience for
authoring, evaluating, launching, monitoring, and decommissioning
classifiers—ensuring that every launch across Ads Safety is safe, measurable,
and reliable at Google scale.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine
learning and Generative AI models like Gemini to power a multi-billion dollar
global business.

Our work directly impacts billions of users by protecting users from harm,
improving ad quality, and optimizing campaigns for advertiser
return-on-investment. We foster a culture of deep collaboration, partnering
closely with teams like Google Research and DeepMind to solve complex
challenges. Join us to work on state-of-the-art AI, take on problems at an
unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Write and test product or system development code.
* Participate in, or lead design reviews with peers and stakeholders to decide
amongst available technologies.
* Review code developed by other developers and provide feedback to ensure best
practices (e.g., style guidelines, checking code in, accuracy, testability,
and efficiency).
* Contribute to existing documentation or educational content and adapt content
based on product/program updates and user feedback.
* 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.

About Google

Software Development · 10,001+ employees · headquartered in Mountain View, CA