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Machine Learning Engineer Jobs in Sherwood, OR (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Portland, OR · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$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 ...

Saksoft

MLOPS Engineer

Portland, OR · On-site

MLOPS ENGINEER JD: This data science role requires a minimum of 7 years of Python and data science ... Proven background in machine learning with at least 5 distinct, well-documented use cases covering ...

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 ...

Lam Research

Vision Systems Engineer 4

Tualatin, OR

Build scalable machine learning and deep learning models using image, video, and multimodal sensor ... Mentor junior engineers and provide technical guidance on best practices in data science and ...

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 ...

Rule42

Lead Software Engineer

Lake Oswego, OR · On-site

Collaborate with data engineers, machine learning engineers, product leaders, and business stakeholders to deliver platform capabilities. * Establish engineering best practices for code quality ...

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 ...

Pwc

AI Solutions Engineering Delivery Lead

Portland, OR · On-site

$108K - $143K/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 ...

Grapevine Round1 AI

Software Engineer

Beaverton, OR · On-site

... machine learning insights into production workflows. Candidates must possess a Master's degree and ... Master's degree in CS, Engineering, CIS, or Mathematics* 1 year of experience in the job offered or ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Sherwood, OR

Machine Learning Engineer information

See Sherwood, OR salary details

$34K

$138.9K

$208.8K

How much do machine learning engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning engineer in Sherwood, OR is $138,922.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $167,200.00 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 cities near Sherwood, OR are hiring for Machine Learning Engineer jobs?

Cities near Sherwood, OR with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Sherwood, OR as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Temporary, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $138,922 per year, or $66.8 per hour.

Machine Learning / Computer Vision

Hillsboro, OR • On-site

Chabez Tech
See more jobs at Chabez Techexternal

Contractor

Posted 7 days ago

Job description

Company Description
Job Description
Role: Machine Learning / Computer Vision
Location: Hillsboro OR - Onsite (Local preference)
Duration: 3 years Contract
Must-Have Skills
• 5+ years of hands-on ML/Computer Vision experience.
• Strong Python programming.
• Strong experience with PyTorch or similar deep-learning frameworks.
• Knowledge of modern Computer Vision architectures: CNNs, Vision Transformers (ViT).
• Strong experience in at least 2 of the following:
o Image Classification / Detection
o Metric Learning / Embeddings / Similarity Search
o Few-Shot / Self-Supervised Learning
o Model Calibration / Uncertainty / Novelty Detection
o MLOps / Model Lifecycle
• Strong understanding of model validation, experimentation, and data quality.
• Experience working with large, messy, or domain-specific datasets.
Kindly share resume at rakesh@chabeztech. com
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.

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