Software Engineer, AI/ML
Company: Google
Location: Kirkland
Posted on: April 2, 2026
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Job Description:
info_outline X 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
Minimum qualifications: Bachelor’s degree or equivalent practical
experience. 2 years of experience with software development in one
or more programming languages, or 1 year of experience with an
advanced degree. 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). Experience with AI Algorithms, Generative
AI, and Generative AI Agent. 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. Proficiency in Google ADK,
LangChain, or similar agentic frameworks. Understanding of LLM
capabilities, including tool-calling, RAG, and reasoning traces.
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 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. Implement solutions in one or more
specialized ML areas, utilize ML infrastructure, and contribute to
model optimization and data processing. Lead the end-to-end
development of prompt optimization pipelines. Serve as a subject
matter expert on the Google ADK (Agent Development Kit). Maintain a
high bar for code health (readability, testing, and
scalability).
Keywords: Google, Everett , Software Engineer, AI/ML, IT / Software / Systems , Kirkland, Washington
