Machine Learning Engineer, AI/ML Expert for Agents and TrustGraph, Google Ads

Machine Learning Engineer, AI/ML Expert for Agents and TrustGraph, Google Ads

Share Machine Learning Engineer, AI/ML Expert for Agents and TrustGraph, Google Ads

corporate_fare Google place Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Machine Learning Engineer, AI/ML Expert for Agents and TrustGraph, Google Ads

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XIn most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in Python or more programming languages, or 1 year of experience with an advanced degree.

• 2 years experience with distributed systems.

• 1 year of experience with end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging).

• Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).

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 working with large-scale datasets, graph systems, web/app infrastructure, or Generative AI/LLM-based systems.

• Experience building LLM agents, multi-agent orchestration frameworks, automated red-teaming/adversarial simulation systems, or automated evaluation pipelines.

• Experience with large-scale graph databases/algorithms (e.g., Spanner, entity resolution, clustering, graph mining) or web/app crawling and anti-cloaking 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 Agents and TrustGraph (ATG) team is a broad, cross-cutting horizontal organization spanning Ads Privacy and Safety, Consumer Trust and Safety, and partner Product Areas across Google. We build the foundational AI platforms, relational intelligence infrastructure, and adversarial crawling systems that protect Google’s users, advertisers, and publishers from bad actors.

As online abuse and fraud grow in volume and sophistication—increasingly powered by generative AI—static rules and reactive manual workflows are no longer enough. Because ATG operates as a horizontal pillar with Google-wide fan-out, engineers on our team are not siloed into a single narrow product. Instead, you will have the flexibility to work across projects and pivot to where the highest leverage lies.

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 issues. Join us to work on 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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

• Contribute to existing documentation or educational content, adapt content based on product/program updates and user feedback.

• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, performance enhancements.

• Build autonomous red-teaming and adversarial simulation frameworks to proactively probe web/app crawling infrastructure, uncover cloaking and evasion blind spots, and close the loop to harden production crawlers.

• Design high-throughput graph pipelines, entity-resolution and expansion algorithms, semantic layers, and LLM-powered graph reasoning tools that make anti-abuse intelligence accessible across dozens of teams.

• Write product or system development code. Work at the intersection of Generative AI, Distributed Graph Systems, and Adversarial Security/Anti-Abuse, with the flexibility to contribute across multiple projects.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.