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Machine Learning Jobs in Olympia, WA (NOW HIRING)

Archgroup

AVP, Strategic Analysts

Home, WA · Remote

$104K - $129K/yr

... machine learning (AI/ML) and algorithmic-based actions. We aim to continue scaling these efforts to achieve even greater success, and we are seeking an exceptional leader to join us in this ...

Archgroup

AVP, Strategic Analysts

Home, WA · Remote

$104K - $129K/yr

... machine learning (AI/ML) and algorithmic-based actions. We aim to continue scaling these efforts to achieve even greater success, and we are seeking an exceptional leader to join us in this ...

Symbotic

System Operator

Centralia, WA · On-site

Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility ...

Symbotic

System Operator

Centralia, WA · On-site

Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility ...

James Hardie

Generalist Operator 0

Tacoma, WA

If you are smart, driven, and authentic, with a background in operating machinery, or a desire in learning to become a General Operator we want to speak with you! The Generalist Operator is an ...

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Showing results 41-60

All JobsMachine Learning JobsMachine Learning Jobs in Olympia, WA

Machine Learning information

See Olympia, WA salary details

$27.3K

$45.7K

$94.4K

How much do machine learning jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning in Olympia, WA is $45,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,800.00 and $49,300.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Olympia, WA?

The most popular types of Machine Learning jobs in Olympia, WA are:

What job categories do people searching Machine Learning jobs in Olympia, WA look for?

The top searched job categories for Machine Learning jobs in Olympia, WA are:

What cities near Olympia, WA are hiring for Machine Learning jobs?

Cities near Olympia, WA with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Olympia, WA as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 91% In-person, 3% Hybrid, and 6% Remote job distribution, with an average salary of $45,663 per year, or $22 per hour.

Sr. Exploitation Specialist/Data Scientist (TS/SCI)

Culmen International LLC

Joint Base Lewis Mcchord, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 19 days ago

Job description

Culmen International is hiring Sr. Exploitation Specialist/Data Scientiststo provide support on-site at the National Geospatial-Intelligence Agency (NGA)inJoint Base Lewis -McChord, Washington, supporting an Analysis Office (AOT/US SOCOM).

The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content enabling rapid creation of discoverable, modular, web enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers in NGA, across the National System for Geospatial-Intelligence (NSG). 


The Data Scientist will coordinate with our clients to understand questions and issues involving the client’s datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

  • Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Lead and participate in the design of solutions and refinement of pre-existing processes
  • Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
  • Research and implement optimization models, strategies, and methods to inform data management activities and analysis
  • Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
  • Conduct peer reviews to improve quality of workflows, procedures, and methodologies
  • Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge

  • Requires TS/SCI Clearance with the ability to obtain a CI/Poly.
  • 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
  • Experience supporting IC operations
  • Must have a background with intelligence experience, where they provided analysis and/or data science to an intelligence mission.
  • Must be able to operate at a senior level and in an independent environment.
  • Must be proficient at creating processes around large data sets to identify analytical discoveries,
  • Must be able to script at a Senior Level in python.
  • Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data.
  • Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
  • Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
  • Strong SQL skills and experience querying relational databases.
  • Experience using Git-based version control platforms such as GitLab or GitHub.
  • Proficiency with geospatial processing frameworks such as GDAL or ArcPy.
  • Proficiency with GIS desktop software such as ArcGIS Pro or QGIS.
  • Ability to write clear, concise technical documentation related to software systems and automated workflows.
  • Ability to operate independently at a senior level with limited oversight.
  • Familiarity with USSOCOM and broader U.S. military organizational structures.
  • Familiarity with common Intelligence Community (IC) data repositories.
  •  

Must be able to support:

  • An understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR
  • An understanding of coca cultivation and production areas Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206
  • An understanding of how to operationalize the analytic output—shape/frame it in a way that supports operational planning

  • Possess Master's degree in Data Science or related technical field
  • Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
  • Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development.
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

Culmen International is committed to enhancing international safety and security, strengthening homeland defense, advancing humanitarian missions, and optimizing government operations. With experience in over 150 countries, Culmen supports our clients to accomplish critical missions in challenging environments.

  • Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen,

    and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners) 
  • 401k – Vested immediately and 4% match
  • Life insurance and disability paid by the company
  • Supplemental Insurance Available
  • Opportunities for Training and Continuing Education
  • 12 Paid Holidays  

To learn more about Culmen International, please visit www.culmen.com

At Culmen International, we are committed to creating and sustaining a workplace that upholds the principles of Equal Employment Opportunity (EEO). We believe in the importance of fair treatment and equal access to opportunities for all employees and applicants.  Our commitment to these principles is unwavering across all our operations worldwide.

The determination of compensation at Culmen International, LLC is based on various factors such as location, the individual's unique combination of education, knowledge, skills, competencies, clearance level, experience, internal equity, contract-specific affordability, and organizational requirements. The projected compensation range for this position is $120,000-150,000 annually. This estimate represents the typical salary range for this position and is just one component of Culmen's total compensation package for employees.

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