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Machine Learning Jobs in Olympia, WA (NOW HIRING)

xFusion Technologies

.net Developer

Olympia, WA · On-site

$51.75 - $68.25/hr

... Machine Learning, and Data Visualization, Business Process Management (BPM), Legacy Modernization Strategy, and Systems Integration with specific subject matter expertise in the Health and Human ...

Symbotic

Cell Operator

Centralia, WA

$18.75 - $21/hr

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 ...

xFusion Technologies

.net Developer

Olympia, WA · On-site

$51.75 - $68.25/hr

... Machine Learning, and Data Visualization, Business Process Management (BPM), Legacy Modernization Strategy, and Systems Integration with specific subject matter expertise in the Health and Human ...

Symbotic

Cell Operator

Centralia, WA · On-site

$18.75 - $21/hr

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 ...

GDIT

Biostatistician

Joint Base Lewis Mcchord, WA · On-site

This role designs, develops, and deploys advanced analytics solutions, including predictive modeling, machine learning, and data integration workflows. The Biostatistician transforms complex ...

Snap Finance

Client Success Manager

Tacoma, WA · On-site

Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built ...

Snapfinance

Client Success Manager

Tacoma, WA

Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built ...

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 ...

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Showing results 21-40

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.

AI Trainer - Microbiology Expert

micro1 AI

Tacoma, WA • Remote

$70 - $90/hr

Part-time

Posted 16 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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