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Executive Full Stack Machine Learning Engineer Jobs in Oregon

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 ... Hands-on experience implementing and scaling the full **post-training pipeline** for language ...

New

OR

$104K - $143K/yr

... and ELK/EFK stacks * Ensure ML deployments meet defense, customer, and platform security ... software engineering, machine learning engineering, MLOps, or related roles * Experience ...

New

OR ยท On-site

$134K - $180K/yr

The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work closely with ...

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 ...

Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape the future of cybersecurity through automation and machine learning. This role is an opportunity to ...

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 ...

Machine Learning Engineer

Foster, OR ยท On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to ...

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 ...

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 ...

The work has executive backing, real users, and a customer who knows exactly what they're buying ... The Full-Stack Product Engineer takes agent capability and turns it into product. End-to-end ...

Senior Machine Learning Engineer

OR ยท 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

Chabez Tech

Portland, OR โ€ข On-site

Contractor

Posted 24 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

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