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Machine Learning Engineer Jobs in Vancouver, WA (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

Portland, OR ยท On-site

$108K - $143K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

Pwc

US Tech - AI Engineering Manager

Portland, OR ยท On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Concora Credit Inc.

Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Concora Credit Inc.

Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Concora Credit Inc.

Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Concora Credit Inc.

Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

INTEL

Yield Development Engineer

Portland, OR

  • Medical

  • Retirement

  • PTO

Extract insights from structured and unstructured data using machine learning, coding techniques, and advanced statistical methods. * Collaborate with process integration, defect engineering, and ...

INTEL

Yield Development Engineer

Hillsboro, OR

  • Medical

  • Retirement

  • PTO

Extract insights from structured and unstructured data using machine learning, coding techniques, and advanced statistical methods. * Collaborate with process integration, defect engineering, and ...

Intel

Yield Development Engineer

Hillsboro, OR ยท On-site

  • Medical

  • Retirement

  • PTO

Extract insights from structured and unstructured data using machine learning, coding techniques, and advanced statistical methods. * Collaborate with process integration, defect engineering, and ...

Intel Corporation

Yield Development Engineer

Hillsboro, OR ยท On-site

  • Medical

  • Retirement

  • PTO

Extract insights from structured and unstructured data using machine learning, coding techniques, and advanced statistical methods. * Collaborate with process integration, defect engineering, and ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Vancouver, WA

Machine Learning Engineer information

See Vancouver, WA salary details

$33.3K

$136.2K

$204.7K

How much do machine learning engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning engineer in Vancouver, WA is $136,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $164,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are popular job titles related to Machine Learning Engineer jobs in Vancouver, WA?

For Machine Learning Engineer jobs in Vancouver, WA, the most frequently searched job titles are:

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

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

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Vancouver, WA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $136,239 per year, or $65.5 per hour.