Software Engineer III, AI/ML, Google Cloud

Google; United States; On-site; USD 147,000 - 211,000; Full time

Job summary

Google is seeking a Software Engineer III, AI/ML for Google Cloud in Mountain View, CA. The role targets mid-level engineers with strong Python/C++ coding skills and hands-on ML infrastructure experience.

You will work on large-scale AI projects, contribute to model deployment and optimization, and mentor junior teammates. The team focuses on AI and infrastructure at scale, offering opportunities to impact products used by Google Cloud customers and billions of users worldwide.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with one or more: Speech/audio, reinforcement learning, ML infrastructure, or ML specialization.
• 1 year of experience with ML infrastructure (e.g., model deployment, evaluation, data processing, debugging).

Responsibilities

• Write product or system development code.
• Collaborate with peers through design and code reviews to ensure best practices.
• Contribute to existing documentation or educational content and update content.
• Triage product or system issues and debug/resolve impacts across hardware, network, or service operations.
• Implement solutions in specialized ML areas and contribute to model optimization and data processing.

Skills

Python

C++

ML infrastructure

Education

Bachelor’s degree

Job description

Software Engineer III, AI/ML, Google Cloud

Location: Mountain View, CA, USA

Experience Level: Mid

Experience Requirements:

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

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 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.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master’s degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures or algorithms.
• Experience developing accessible 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 AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability, and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We’re the driving force behind Google’s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware, our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit, is subject to Google’s Applicant and Candidate 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 also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.