Senior Software Engineer, AI/ML

Google; United States; On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health, dental, vision, life, and Dis/

401(k) with company match

Paid Time Off: 20 days/year

Sick Time: 40 hours/year

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

13 paid holidays

Job summary

Google is hiring a Senior Software Engineer, AI/ML, to work on scalable AI-powered systems across Google's stack. You will contribute to deploying AI models, improving performance, and solving complex problems in collaboration with multi-disciplinary teams.

The role requires 5 years of software development experience and 3 years in ML infrastructure, with a Bachelor’s degree or equivalent. Seattle/WA or CA offices are among eligible locations, with a strong emphasis on collaboration and

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of software development in one language (C++, Go, or Java).
• 3 years of ML infrastructure experience (deployment, evaluation, data processing, debugging).
• Experience designing, building, and maintaining infrastructure.
• Experience designing, developing, and deploying AI models or ML algorithms.

Responsibilities

• Learn new technical domains by combining a deep knowledge of Google’s stack with AI-assisted research to propose solutions.
• Build scalable AI-powered solutions across Google and support other teams with challenges.
• Identify game-changing problem spaces and propose opportunities that maximize impact.
• Contribute to a collaborative culture that pushes the boundaries of technology.
• Guide junior engineers and lead teams with clear technical direction and growth.

Skills

Programming languages

ML infrastructure

Mentoring

Problem solving

Communication

Education

Bachelor's degree or equivalent

Master's or PhD (preferred)

Tools

ML infrastructure tooling

Distributed systems

AI models deployment

Job description

Senior Software Engineer, AI/ML

Google

Location: San Jose, CA, USA; Kirkland, WA, USA

Mid

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

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; Kirkland, WA, USA.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., C++, Go or Java).
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience designing, building, and maintaining infrastructure.
• Experience designing, developing, and deploying artificial intelligence (AI) models or machine learning algorithms.

Preferred qualifications

• Master’s degree or PhD in Computer Science or related technical field.
  
• 5 years of experience with data structures and algorithms.
• Experience applying AI to solve software engineering problems, with a background or strong interest in agentic software development (LLMs, code generation, etc.).
• Experience in driving significant operational efficiencies (e.g., compute, storage, latency) and structural software improvements (e.g., code quality, testing speed) in production, brown-field systems.
• Experience designing, building, maintaining, optimizing, and debugging large-scale, high-performance distributed production systems (e.g., replicated state machines, database systems, networking, or storage).

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.

This is an opportunity to participate in a fast-moving, high-impact AI-native team, and play a part in defining how Google leverages AI to deliver qualitatively different engineering outcomes compared to pre-AI ways of working.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Learn new technical domains by combining a deep knowledge of Google’s expansive software stack with AI-assisted research to quickly propose and implement innovative technical solutions.
• Build scalable AI-powered solutions horizontally across Google while delving deeply into external systems to proactively assist other teams with their most complex challenges.
• Help the team strategically identify game-changing problem spaces, dynamic pursuing and contributing proposals for opportunities that maximize our overall impact.
• Contribute to a collaborative, ambitious culture that confidently tackles the impossible and constantly questions the strict technical boundaries.
• Guide junior engineers and lead focused strike teams by setting clear technical direction, providing vital support to ensure both their rapid professional growth and overall outcome success.

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.

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.