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Weekend Machine Learning Jobs in Oregon (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Weekend Machine Learning information

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as machine learning engineers, healthcare professionals, and skilled tradespeople, are more likely to survive AI automation. These roles often involve nuanced decision-making, emotional intelligence, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability are essential for job security in an evolving AI landscape.

What jobs pay $2000 a day?

High-paying jobs that can pay $2000 a day often include specialized roles such as senior consultants, freelance software developers, or certain executive positions. These roles typically require advanced skills, extensive experience, and sometimes certification, and they may involve project-based or contract work with high hourly or daily rates.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and sometimes advanced degrees or certifications. Compensation at this level often includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.
What are the most commonly searched types of Machine Learning jobs in Oregon? The most popular types of Machine Learning jobs in Oregon are:
What are popular job titles related to Weekend Machine Learning jobs in Oregon? For Weekend Machine Learning jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Weekend Machine Learning jobs? Cities in Oregon with the most Weekend Machine Learning job openings:

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.