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Machine Learning Engineer Associate Jobs in 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 ...

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

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

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

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

AI Solutions Architect

Portland, OR ยท On-site

$66.75 - $88/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert Company : Deloitte drives progress. Our firms ...

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Machine Learning Engineer Associate information

See Portland, OR salary details

$44K

$87.6K

$140K

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

As of Jun 20, 2026, the average yearly pay for machine learning engineer associate in Portland, OR is $87,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $100,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Portland, OR? The most popular types of Machine Learning Engineer jobs in Portland, OR are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Portland, OR? For Machine Learning Engineer Associate jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Portland, OR look for? The top searched job categories for Machine Learning Engineer Associate jobs in Portland, OR are:

Machine Learning Engineer

Chabez Tech

Portland, OR โ€ข On-site

Contractor

Posted 25 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
ย ย  ย Bachelor's or master's degree in computer science, Machine Learning, Electrical Engineering, or related fieldย 
ย ย  ย 5+ years of experience in machine learning, data science, or AI engineeringย 
ย ย  ย Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow)ย 
ย ย  ย Experience with time-series data analysis and anomaly detectionย 
ย ย  ย Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models)ย 
ย ย  ย Experience building or working with knowledge graphs (Neo4j, RDF, graph databases)ย 
ย ย  ย Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis)ย 
ย ย  ย Experience deploying ML models in production systemsย 
ย ย  ย Strong problem-solving skills and ability to work with complex, real-world datasets

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

Additional Information

All your information will be kept confidential according to EEO guidelines.