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Machine Learning Software Engineer Jobs in Portland, OR

Chabez Tech

Machine Learning Engineer

Portland, OR

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications Bachelor's or ...

Epic

Software Engineer

Portland, OR · On-site

As a software developer, you will utilize modern methodologies and technologies to innovate and ... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ...

Epic

Software Engineer

Gresham, OR · On-site

As a software developer, you will write innovative software solutions using modern methodologies ... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ...

New

Epic

Software Engineer

Hillsboro, OR · On-site

As a software developer, you will write innovative software solutions using modern methodologies ... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ...

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 ...

Trimble, Inc.

Software Engineer

Lake Oswego, OR · On-site

$78.40K - $107.90K/yr

Trimble is looking for a forward-thinking Software Engineer to join our Seattle team and lead the ... Machine Learning, Full Stack Developer, Seattle Jobs, AECO Compensation: Trimble provides the ...

Trimble

Software Engineer

Lake Oswego, OR · On-site +1

$78.40K - $107.90K/yr

Trimble is looking for a forward-thinking Software Engineer to join our Seattle team and lead the ... Machine Learning, Full Stack Developer, Seattle Jobs, AECO Compensation: Trimble provides the ...

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Machine Learning Software Engineer information

See Portland, OR salary details

$67.3K

$156.4K

$217.9K

How much do machine learning software engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning software engineer in Portland, OR is $156,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,300.00 and $183,500.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.
More about Machine Learning Software Engineer jobs
What are the most commonly searched types of Machine Learning Software Engineer jobs in Portland, OR? The most popular types of Machine Learning Software Engineer jobs in Portland, OR are:
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What job categories do people searching Machine Learning Software Engineer jobs in Portland, OR look for? The top searched job categories for Machine Learning Software Engineer jobs in Portland, OR are:
Machine Learning Software Engineer jobs near you

Machine Learning Engineer

Chabez Tech

Portland, OR

Contractor

Posted 4 days ago

Job description

Job Description

Job Title: Machine Learning Engineer
Location: Portland, OR - Onsite (Local only / F2F interview)
Duration: 24 Months Contract

Experience Level: 5+ years of experience

Required Qualifications
•    Bachelor’s or master’s degree in computer science, Machine Learning, Electrical Engineering, or related field 
•    5+ years of experience in machine learning, data science, or AI engineering 
•    Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) 
•    Experience with time-series data analysis and anomaly detection 
•    Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) 
•    Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) 
•    Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis) 
•    Experience deploying ML models in production systems 
•    Strong problem-solving skills and ability to work with complex, real-world datasets

Preferred Qualifications
•    Experience with fault tree analysis (FTA), reliability engineering, or failure analysis 
•    Background in industrial systems, semiconductors, manufacturing, or IoT environments 
•    Experience with graph-based ML / Graph Neural Networks (GNNs) 
•    Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams) 
•    Experience with vector databases, RAG systems, or LLM-based reasoning 
•    Knowledge of MLOps practices (CI/CD, monitoring, model governance) 
•    Experience working in air-gapped or high-security environments 
 

Additional Information

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