AI ML Engineering Jobs in Washington
AI ML Engineering jobs in Washington are among the most active in the country, concentrated in software platforms, cloud computing, aerospace, and enterprise technology, with openings from entry-level ML engineer through principal and staff-level roles. Seattle anchors the market, with Redmond and Bellevue rounding out the core hiring corridor, where companies like Microsoft, Amazon, and Boeing maintain significant applied AI and machine learning teams. The most in-demand specialties are large language model development, MLOps and model deployment, and computer vision. Find a role that fits below and apply directly.
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- 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: Mountain View, CA, USA; Seattle, WA, USA; New York, NY, USA.
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 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 and algorithms.
- Experience with image processing, computer vision, or machine learning applications.
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.
As a part of this team, you will focus on productionizing GenAI shopping features across Google’s most prominent surfaces, including Search, Commerce, Ads, Chrome, and YouTube. Here, you will master the art of scaling multimodal GenAI to production-level quality, leveraging Google’s infrastructure to deliver highly customized, industry-defining user experiences.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + 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 solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
- 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: Mountain View, CA, USA; Seattle, WA, USA; New York, NY, USA.
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 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 and algorithms.
- Experience with image processing, computer vision, or machine learning applications.
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.
As a part of this team, you will focus on productionizing GenAI shopping features across Google’s most prominent surfaces, including Search, Commerce, Ads, Chrome, and YouTube. Here, you will master the art of scaling multimodal GenAI to production-level quality, leveraging Google’s infrastructure to deliver highly customized, industry-defining user experiences.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + 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 solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
See All 8 AI ML Engineering Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI ML Engineering JobsAI ML Engineering Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI ML Engineering Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Distribution & Wholesale
What Washington Employers Look For
The qualifications that appear most often in AI ML engineering jobs across Washington.
- Bachelor's or master's degree in computer science, mathematics, or a related technical field
- Proficiency in Python and core ML frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying production machine learning models
- Familiarity with cloud ML platforms including AWS SageMaker, Azure ML, or Google Vertex AI
- Strong foundation in statistics, linear algebra, and probability for model development
- Experience with MLOps practices, model monitoring, and continuous integration pipelines
AI ML Engineering Jobs in Washington: Frequently Asked Questions
How do you become a ai ml engineering in Washington?
AI ML engineering roles in Washington require no state-issued license, so the path runs through education and demonstrated technical skills. Most Washington employers expect at least a bachelor's degree in computer science, statistics, or a related field, with a master's degree preferred for research-adjacent or senior positions. Building a public portfolio of end-to-end ML projects and contributing to open-source repositories are the concrete steps that move a candidate from applicant to hire in this market.
Which companies hire ai ml engineerings in Washington?
Employers hiring ai ml engineerings in Washington right now include Meta, Google, and Oracle, based on current listings on Migrate Mate as of September 2026. Washington's concentration of cloud platform headquarters and aerospace primes means openings range from applied research teams to production ML infrastructure roles.
Which Washington cities have the most ai ml engineering jobs?
Seattle and Olympia have the most ai ml engineering openings in Washington. Seattle drives the bulk of demand because it is home to major cloud and software platform headquarters, while Redmond and Bellevue draw hiring from large campus operations and the dense cluster of enterprise technology companies that have established offices there.
How can I get hired as a ai ml engineering in Washington with little or no experience?
The most realistic entry path is securing a junior or associate ML engineer role, often titled ML engineer I or data scientist I, by leading with a strong project portfolio. Large Washington employers like Microsoft and Amazon run new-graduate rotational programs and university recruiting pipelines that bring in candidates with limited professional experience. Adjacent roles such as data analyst, software engineer, or research assistant positions within ML teams are also common starting points that build the on-the-job experience needed to transition into a full ML engineering title.
Where can I find and apply to ai ml engineering jobs in Washington?
You can find and apply to ai ml engineering jobs in Washington on Migrate Mate, which lists current Washington openings across Seattle, Redmond, Bellevue, and surrounding areas. Find roles that match your background and apply directly to the ones that fit.
See All 8 AI ML Engineering Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI ML Engineering Jobs