Software Engineer III, AI/ML, GenAI, Workspace

Google; Kirkland (WA); On-site; USD 141,000 - 202,000; Full time

Benefits offered by this job

Health, dental, vision, and life insurance

401(k) retirement benefits with company match

20 days of vacation per year

40 hours sick time per year

Maternity leave

13 paid holidays per year

Job summary

A leading tech company in Kirkland is seeking a software engineer to develop next-generation technologies that transform user interactions. The ideal candidate will have expertise in Python or C++, along with experience in ML infrastructure and Generative AI concepts. The role offers an annual salary range of $141,000-$202,000 plus bonuses and benefits, with the opportunity to work on impactful projects across the company.

Qualifications

• 2 years of programming experience in Python or C++.
• Experience with machine learning infrastructure including model deployment and evaluation.
• Experience with Generative AI concepts, including large language models and multimodal generation.

Responsibilities

• Write product or system development code.
• Collaborate with peers through design and code reviews.
• Contribute to documentation and user content.
• Triage product issues and debug or resolve them.
• Implement Generative AI solutions and optimize performance.

Skills

Programming in Python or C++

ML infrastructure experience

Core GenAI concepts

Experience with data structures and algorithms

Developing accessible technologies

Education

Bachelor’s degree or equivalent

Master's degree or PhD in Computer Science

Job description

Benefits

• 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

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with core GenAI concepts (e.g., large language models, multi-modal, large vision models) and experience with text, image, video, or audio generation.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and 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.

AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.

The US base salary range for this full-time position is $141,000-$202,000 + 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 Generative Artificial Intelligence (GenAI) solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

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.