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Pytorch Jobs in Portland, OR (NOW HIRING)

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

... 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 ...

Chabez Tech

Machine Learning Engineer

Portland, OR

... 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) • ...

Chabez Tech

Machine Learning Engineer

Portland, OR

... 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) • ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

... 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) • ...

Intel

AI Performance Library Architect

Hillsboro, OR · On-site

$170K - $315K/yr

Implementation of linear algebra algorithms (functions from BLAS, LAPACK, or PyTorch) * Performance engineering and software performance optimizations * Floating point arithmetic and numerical ...

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... PyTorch) • Lakehouse architecture • Large-Scale Data Preprocessing • Programming (Python, SQL, C++) • LLM Models (Generative AI, RAG) • Data Governance Apply at www.Nike.com/Careers (Job# R ...

Coulson Aviation

CV/ML Engineer

Portland, OR · On-site

$140K - $190K/yr

Strong experience with image segmentation, object detection, or scene classification (PyTorch, TensorFlow, or equivalent) * Comfortable taking a model from training through to deployed inference

Nvidia

Senior CPU Performance Architect

Hillsboro, OR

$181K/yr

Experience with performance optimization of AI frameworks such as PyTorch. NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our ...

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$80.4K

$144.1K

$206.7K

How much do pytorch jobs pay per year?

As of Jun 10, 2026, the average yearly pay for pytorch in Portland, OR is $144,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,867.00 and $176,272.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Pytorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What are the most commonly searched types of Pytorch jobs in Portland, OR? The most popular types of Pytorch jobs in Portland, OR are:
What are popular job titles related to Pytorch jobs in Portland, OR? For Pytorch jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Pytorch jobs in Portland, OR look for? The top searched job categories for Pytorch jobs in Portland, OR are:
What cities near Portland, OR are hiring for Pytorch jobs? Cities near Portland, OR with the most Pytorch job openings:
Pytorch jobs near you
Infographic showing various Pytorch job openings in Portland, OR as of June 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $144,134 per year, or $69.3 per hour.

Machine Learning Engineer

Chabez Tech

Portland, OR • On-site

Contractor

Posted 16 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
    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

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