Software Engineer III, AI/ML, Google Cloud AI

Google

Kirkland (WA)

Hybrid

USD 147,000 - 211,000

Full time

14 days+

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Benefits offered by this job

Health, dental, vision, life, disability insurance
401(k) with company match
20 days of vacation per year
Sick Time: 40 hours/year
Maternity Leave: 28-30 weeks
Holidays: 13 paid days per year

Job summary

Google is looking for a software engineer in Kirkland, WA to develop impactful technologies in AI and machine learning. The role requires programming expertise in Python or C++, along with experience in ML infrastructure. Responsibilities include code development, collaboration, and debugging systems. Google offers competitive salary ranging from $147,000 to $211,000 plus bonuses and a robust benefits package including health insurance, retirement plans, and paid time off.

Qualifications

  • 2 years of experience programming in Python or C++.
  • 1 year of experience with speech/audio technology or ML infrastructure.
  • Master's degree or PhD in a relevant field is preferred.

Responsibilities

  • Write product or system development code.
  • Collaborate through design and code reviews.
  • Contribute to existing documentation.
  • Debug product or system issues.
  • Implement solutions in ML areas.

Skills

Programming in Python or C++
Speech/audio technology
Reinforcement learning
ML infrastructure

Education

Bachelor’s degree or equivalent
Master's degree or PhD in Computer Science

Job description

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 (statutory, where applicable); 5 days/event (discretionary)
  • 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; New York, NY, USA.

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 Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real‑world impact, aiming to push the state‑of‑the‑art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real‑world impact that benefits our customers.

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 among 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 Machine Learning (ML) infrastructure, and contribute to model optimization and data processing.

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.

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