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Artificial Intelligence Machine Learning Engineer Jobs in Washington

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Artificial Intelligence Machine Learning Engineer information

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$35.7K

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How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for artificial intelligence machine learning engineer in Washington is $145,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $175,600.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Washington?

For Artificial Intelligence Machine Learning Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Washington look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Washington are:

What cities in Washington are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities in Washington with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $145,843 per year, or $70.1 per hour.

Artificial Intelligence Machine Learning Engineer 2

Captivation Software

Annapolis, MD • On-site

$130K - $270K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Build to something to be proud of.
Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country.
Description
Captivation Software is looking for a mid level AI/ML engineer who will be responsible for designing, creating, testing, and productizing AI/ML algorithms to solve business challenges
Responsibilities
  • Select appropriate data sets
  • Perform statistical analysis
  • Run machine learning algorithms
  • Use results to improve models
  • Train and retrain systems when needed
  • Experience in working with various ML libraries and packages
  • Run standard test and evaluation protocols
  • Provide system integration oversight
  • Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
  • Research and implement a broad range of AI and ML algorithms and tools
  • Design or Select appropriate data and knowledge representation methods
  • Recognize software architecture, data modelling, and data structures
  • Transform and convert data science prototypes into scalable solutions
  • Verify data and model output quality
  • Identify differences in data distribution that affect model performance

Requirements
Security Clearance:
    Minimum Qualifications:
    • Five (5) years of experience deploying machine learning algorithms is required.
    • A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required.
    • 5 additional years machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
    Required Skills:
    • Demonstrated abilities in software engineering and AI/ML model test and evaluation.

    This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.
    Benefits
    • Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)
    • Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
    • Above Market Hourly Rates
    • $3,600 HSA Contribution
    • 6 Weeks Paid Time Off
    • Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D

    Apply