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Pytorch Jobs in Portland, OR (NOW HIRING)

The Avian Consulting LLC

MLOps Engineer

Portland, OR · On-site

Required Skills • 5+ years of experience in DevOps, Data Engineering, or MLOps. • Strong experience with Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Hands-on ...

Cisco

Applied AI Scientist

Portland, OR

Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems, or custom GNN runtimes. * Advanced Anomaly Detection with Graph: Track record developing hybrid ...

Intel

AI Performance Library Architect

Hillsboro, OR

$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 ...

Cisco

Applied AI Scientist

Hillsboro, OR · On-site

Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems, or custom GNN runtimes. * Advanced Anomaly Detection with Graph: Track record developing hybrid ...

Intel

AI Infrastructure Engineer

Hillsboro, OR

$170K - $315K/yr

Upstream your architectural improvements and hardware backends directly into open-source repositories like vLLM, SGLang, and PyTorch, acting as a bridge between the hardware teams and the open-source ...

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... PyTorch, Scikit-learn) • AWS Serverless Architecture (Lambda, API Gateway, IAM) • Infrastructure as Code at Scale (Terraform) • Kubernetes based Production Orchestration (EKS) • Monitoring ...

Nvidia

Senior CPU Performance Architect

Hillsboro, OR · On-site

$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 ...

Intel

AI Full Stack Engineer

Hillsboro, OR

PyTorch, scikit-learn, ONNX,OpenVINO, Preferred Qualifications * Advanced Education :Mastersdegree in Computer Science, Electrical Engineering, orarelatedtechnical field. * Public Speaking

Nvidia

Senior Performance Architect, Nemotron

Hillsboro, OR · On-site

$181K/yr

Experience with deep learning frameworks like PyTorch, TRT-LLM, VLLM, SGLang * A Growth mindset and pragmatic "measure, iterate, deliver" approach. Ways to Stand Out from the Crowd * Proven track ...

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All JobsPytorch JobsPytorch Jobs in Portland, OR

Pytorch information

See Portland, OR salary details

$80.4K

$144.1K

$206.7K

How much do pytorch jobs pay per year?

As of Aug 28, 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 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 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 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 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:

Pytorch jobs near you
Infographic showing various Pytorch job openings in Portland, OR as of August 2026, with employment types broken down into 2% Internship, 88% Full Time, 6% Part Time, and 4% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $144,134 per year, or $69.3 per hour.

MLOps Engineer

The Avian Consulting LLC

Portland, OR • On-site

Other

Posted 25 days ago

Job description

Key Responsibilities

• Design, build, and maintain end-to-end MLOps pipelines for model training, testing, deployment, and monitoring.

• Automate ML workflows using CI/CD best practices.

• Deploy and manage machine learning models in production environments.

• Develop scalable data and model pipelines on cloud platforms.

• Monitor model performance, data drift, and system health.

• Collaborate with data scientists to productionize ML models.

• Implement model versioning, experiment tracking, and artifact management.

• Optimize infrastructure for performance, scalability, and cost efficiency.

• Ensure security, governance, and compliance for ML platforms.

• Troubleshoot production issues and improve operational reliability.

Required Skills

• 5+ years of experience in DevOps, Data Engineering, or MLOps.

• Strong experience with Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

• Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.

• Experience with containerization technologies like Docker and Kubernetes.

• Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.

• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).

• Experience with Infrastructure as Code tools such as Terraform or CloudFormation.

• Knowledge of model monitoring, logging, and observability tools.

• Strong understanding of Git version control and software development best practices.

• Experience with Linux environments and shell scripting.

 
 
Preferred Qualifications

• Experience with Generative AI, LLM deployment, or RAG-based applications.

• Familiarity with Apache Airflow, Kafka, or Spark.

• Knowledge of feature stores and model registries.

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