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 is seeking software engineers to work on next‑generation AI and ML infrastructure, including deployment, evaluation, and data processing for enterprise AI workloads. You will help design distributed systems and optimize performance across large‑scale platforms.

The role offers opportunities to work on state‑of‑the‑art AI, with exposure to TensorFlow, TPUs, and broad collaboration with Google Research and DeepMind to tackle complex challenges at scale.

Qualifications

• Bachelor's degree or equivalent practical experience required.
• 2 years of software development experience in one or more programming languages.
• 1 year of end-to-end ML experience including model deployment, evaluation, and data processing.
• 1 year of experience with ML systems, LLMs, or related ML infrastructure.
• Experience designing system architecture for AI/ML workloads.

Responsibilities

• Modify infrastructure to support new modeling techniques and products.
• Prototype new infrastructure, automation, workflows, and tooling.
• Improve robustness, reliability, and usability of infrastructure.
• Analyze performance, debug, and implement improvements.
• Collaborate with teams to build cross‑ecosystem systems.

Skills

Software development

Machine Learning

LLMs

System architecture

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related fields

Tools

Tensorflow

SAX

GeMax

TPUs

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.
• 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.

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.

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.

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.