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

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR

$110K - $152K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... machine learning models to support prediction and optimization use cases; operationalize machine learning models as scalable APIs or batch inference services; implement and maintain CI/CD pipelines ...

Deegit Inc

DSP Algorithms Engineer

Hillsboro, OR · On-site

$155K - $181K/yr

Proficient in DSP theory, scientific programming, adaptive filtering, machine learning, GMM, clustering and neural networks. Strong commitment to quality using algorithm performance evaluation ...

Pwc

AI Engineer

Portland, OR · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Nike

Software Engineer

Beaverton, OR · On-site

... machine learning solutions that have a direct impact on the business; help design and build ... a engineer-related occupation. Position requires: • Software Development • Testing ...

Intel

Senior AI / Data Science Engineer

Hillsboro, OR

$115K - $156K/yr

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... Collaborate closely with Yield Engineering, Process Integration, Manufacturing, and Technology ...

Pwc

CTIO AI Engineering Manager

Portland, OR · On-site

$73K - $244K/yr

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 ...

Deloitte

Senior Forward Deployed Engineer- AWS

Portland, OR

$110K - $152K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Lead Forward Deployed Engineer - AWS

Portland, OR

$108K - $143K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Forward Deployed Engineer- AWS

Portland, OR

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

NGA AI Engineer Manager

Portland, OR · On-site

$73K - $244K/yr

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 ...

Pwc

US Tech - AI Engineering Senior Associate

Portland, OR · On-site

$55K - $187K/yr

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 ...

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Showing results 21-40

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

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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.

AI & Machine Learning Developer

Johnson Health Tech Companies

Vancouver, WA • On-site

$99K - $119K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 9 days ago

Johnson Health Tech rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

155th of 490 rated machine equipment manufacturers

Job description

Description:


Position Overview:

Under the direction of the Sr. Director of Electrical Engineering, the AI/ML Developer – Mobile Fitness Applications will The AI/ML Developer will design and prototype advanced artificial intelligence features for Johnson Health Tech’s mobile fitness applications. This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side Android developers to integrate these features into production applications.


Responsibilities:

· Research, design, and implement AI/ML solutions for mobile fitness applications.

· Develop and fine-tune LLMs for natural language interactions and personalization.

· Build scalable backend services using AWS technologies (Lambda, DynamoDB, SageMaker, etc.).

· Build scalable production ready ML ops pipeline and inference endpoints using AWS technologies e.g. SageMaker, Bedrock.

· Collaborate with Android developers to integrate AI features into client-side applications.

· Create prototypes and proof-of-concepts for new AI-driven features.

· Stay current with emerging AI/ML technologies and best practices.

· Ensure compliance with data privacy and security standards.

Requirements:


Education:

· Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.


Experience:

· 3+ years of experience in AI/ML development, with a focus on Natural Language Processing (NLP) and LLMs.

· Hands-on experience with AWS services for AI/ML deployment.

· Proficiency in Python and ML frameworks (TensorFlow, PyTorch).

· Experience with RESTful APIs and microservices architecture.


Benefits:

We offer an excellent compensation package and team-oriented work environment with growth opportunities. Some of our outstanding benefits include:

· Health & Dental Insurance

· Company paid Life Insurance

· 401(k)

· Paid Time Off benefits

· Product discounts

· Wellness programs



Equal Opportunity Employer, including Veterans and Individuals with Disabilities

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