Staff Software Engineer, AI/ML, Google Cloud AI

Google; United States; On-site; USD 181,000 - 301,000; Full time

Benefits offered by this job

Health, dental, vision

401(k) match

Paid time off 20 days

Sick time 40 hrs/yr

Maternity leave 28-30 wks

Baby bonding leave 18 wks

Holidays 13 days

Job summary

Google is hiring Staff Software Engineer, AI/ML for Google Cloud AI in the U.S. This role spans Sunnyvale and Kirkland with in-person interviews and a comprehensive benefits package. You will design, develop, and deploy large-scale software while leading ML projects and optimizing infrastructure across teams.

The role emphasizes owning outcomes, solving ambiguous problems, and influencing stakeholders, with strong emphasis on ML, data processing, and system design.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years in speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 5 years leading ML design and optimizing ML infrastructure.
• 3 years of experience testing, launching software products, and 3 years in software design/architecture.

Responsibilities

• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Provide technical leadership on high-impact projects, while managing project priorities, deadlines, and deliverables.
• Coordinate alignment across teams on goals, outcomes, and timelines, and coach a distributed team of engineers.
• Lead design and implementation of ML solutions, optimize ML infrastructure, and guide data processing strategies.

Skills

8 years software development

5 years ML experience

5 years ML infrastructure

5 years ML design leadership

3 years leadership experience

Education

Bachelor's degree or equivalent practical experience

Master's or PhD preferred

Job description

Staff Software Engineer, AI/ML, Google Cloud AI

Sunnyvale, CA, USA; Kirkland, WA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

In most instances, this position requires in-person interviews as part of the hiring process. 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

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

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years 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.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

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 Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed.

Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Provide technical leadership on high-impact projects, while managing project priorities, deadlines, and deliverables.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines, influence and coach a distributed team of engineers.
• Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.

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