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

Google; Pittsburgh (Allegheny County); On-site; USD 147,000 - 210,000; Full time

Job summary

Google LLC is seeking a Software Engineer for AI/ML, ML infrastructure, and Search Ads. The role focuses on building scalable AI-powered systems to power Google's advertising platform and information retrieval across massive-scale data.

The position requires hands-on software development, ML deployment, and collaboration with teams across Research and DeepMind to advance state-of-the-art AI for ads and search. Both in-person interviews and preferred locations are offered.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of software development experience in one or more programming languages.
• 1 year of end-to-end ML experience (deployment, evaluation, data processing, debugging).
• 1 year of experience with speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• Experience with ML systems or Large Language Models (LLMs).
• Experience designing system architectures for enterprise AI/ML workloads.

Responsibilities

• Modify infrastructure (training and serving) to support new modeling techniques and products.
• Prototype new infrastructure, automation, workflows, and tooling.
• Improve robustness, reliability, and usability of infrastructure.
• Analyze and debug performance and optimize systems.
• Collaborate with team members to build cross-ecosystem integrations.

Skills

Software development

ML systems

LLMs

System architecture

Speech/audio

Reinforcement learning

Education

Bachelor's degree or equivalent practical experience

Master's or PhD in CS or related field

Tools

TensorFlow

GeMax

TPUs

Job description

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

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

X 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.

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages.
• 1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
• 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• Experience with Machine Learning systems or Large Language Models (LLMs).
• Experience designing system architecture for enterprise computing environments supporting AI/ML workloads.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• Experience in machine learning modeling or machine learning infrastructure.
• Experience in Google's Machine Learning stack (e.g., Tensorflow, SAX, GeMax, TPUs).
• Experience in large-scale distributed training and model parallelism.

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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .

• Modify infrastructure (training and serving) to support new modeling techniques and products.
• Prototype new infrastructure, automation, workflows, and tooling.
• Improve robustness, reliability, and usability of infrastructure.
• Analyze and debug performance, and make improvements.
• Collaborate closely with team members and partners to build systems that integrate seamlessly across the ecosystem.

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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

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.