Staff Software Engineer, AI/ML, ML Infrastructure, Search Ads

Google LLC; Pittsburgh (Allegheny County); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Senior ML Engineer to help design and deploy scalable AI systems, working across models, data pipelines, and infrastructure.

You will lead end-to-end ML initiatives, optimize model deployment, and drive large-scale GenAI efforts in a fast-paced, collaborative environment.

The role involves partnering with research and product teams to ship reliable AI features that impact billions of users.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience.
• 5 years leading ML design and end-to-end ML optimization.
• 2 years with GenAI techniques (LLMs, Multi-Modal, Large Vision Models).
• Experience building ML systems and infrastructure.
• Experience designing and operating distributed computing systems for large-scale AI/ML workloads.

Responsibilities

• Research emerging technology and decide between immediate wins and long-term stability.
• Modify training and serving infrastructure to support new modeling techniques.
• Collaborate with teams to build systems that integrate across the ecosystem.
• Improve robustness and usability of ML infrastructure.
• Engage with modeling teams to identify pain points and use cases.

Skills

Software development

ML system design

Model deployment

GenAI techniques

Distributed computing

Data processing

Debugging

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS or related field

Job description

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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Pittsburgh, PA, USA.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
• 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• Experience building and architecting ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).
• Experience designing and operating distributed computing systems for large-scale AI/ML workloads.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience in Machine Learning modeling, specifically with Large Language Models (LLMs).
• Experience in distributed Machine Learning system design.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Research emerging technology and make trade-off decisions between immediate wins and long-term stability.
• Modify training and serving infrastructure to support new modeling techniques and products.
• Collaborate closely with team members and partners to build systems that integrate seamlessly across the ecosystem.
• Improve robustness, reliability, and usability of machine learning infrastructure.
• Engage with modeling teams to explore pain points and identify novel use cases.

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .