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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 Bachelor's or ...

As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to ...

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 ...

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 ...

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

OR · On-site

$466K - $750K/yr

We work at the intersection of creative game design and cutting-edge machine learning, ensuring that dynamic storytelling is not only novel but also coherent, immersive, and safe for our players. We ...

OR

$122K - $161K/yr

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions. * Strong domain knowledge in at least one of the following: RAG, LLM, information retrieval, Multimodal ...

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Weekend Machine Learning information

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 • On-site

Contractor

Re-posted 16 days ago


Job description

Company 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
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.