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Executive Full Stack Machine Learning Engineer Jobs in Oregon

Machine Learning Engineer Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience ...

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... the full lifecycle from problem discovery, through prototyping, evaluation, hardening, and ...

OR

$122.40K - $161.30K/yr

Senior Machine Learning Engineer Experience Level: 4+ years Work Location: Dallas, TX Employment ... Full-Stack Application Architecture: Collaborate with software engineers to integrate AI components ...

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 • 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 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 • Bachelor's or ...

$105K/yr

Full Stack Developer Location: Remote Clearance: Must be eligible to obtain a Public Trust (US ... Interest in machine learning concepts. * Coursework, certifications, or personal projects in AWS ...

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 Machine Learning Engineer III you will be a team lead on the Marketplace Efficiency - Job Reach team. Your team will be responsible for maintaining ...

OR

$114.40K - $137.40K/yr

Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights:

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering-collaborating closely with Research Scientists, Data Scientists, and ML Platform ...

Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

New

Machine Learning Solutions Architect - US Machine Learning Engineers are the Swiss army knives of ... stack. * Providing thought leadership by recommending the technologies and solution design for a ...

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for ...

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Executive Full Stack Machine Learning Engineer information

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

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Oregon? The most popular types of Full Stack Machine Learning Engineer jobs in Oregon are:
What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Oregon? For Executive Full Stack Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Oregon look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Oregon are:
What cities in Oregon are hiring for Executive Full Stack Machine Learning Engineer jobs? Cities in Oregon with the most Executive Full Stack Machine Learning Engineer job openings:
Machine Learning Engineer

Machine Learning Engineer

ChabezTech LLC

Portland, OR • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Machine Learning Engineer

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

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