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

Google LLC; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google LLC in Mountain View, California is seeking a Software Engineer focusing on AI/ML infrastructure and scalable systems. You will design, build, and optimize platforms that support end-to-end machine learning workloads, including model deployment, evaluation, data processing, and debugging at scale.

We value hands-on experience with ML systems or LLMs, and expertise in enterprise AI/ML architecture. The role involves collaboration across teams to deliver robust pipelines and secure,

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience in one or more languages.
• 1 year end-to-end ML experience (deployment, eval, data processing, debugging).
• 1 year experience with speech/audio, RL, ML infra, or related ML field.
• Experience with ML systems or Large Language Models (LLMs).
• Experience designing system architecture for 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 make improvements.
• Collaborate closely with team members and partners to build systems that integrate seamlessly across the ecosystem.

Skills

Software development experience

End-to-end ML experience

ML systems / LLMs experience

AI/ML architecture for enterprise

Speech/Audio or RL or ML infra

Education

Bachelor’s degree or equivalent practical experience

Job description

Minimum qualifications

• 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 designing distributed machine learning systems.
• Experience developing accessible technologies.
• Experience in Google's Machine Learning stack (e.g., Tensorflow, SAX, GeMax, TPUs).
• Experience in large-scale distributed training and model parallelism.

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.

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

Responsibilities

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 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.