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Pytorch Developer Jobs in Oregon (NOW HIRING)

Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product ... Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or ...

Senior Performance Engineer - DGX Cloud

OR · On-site +1

$104K - $143K/yr

We are seeking a Senior Performance Engineer to characterize workloads, establish performance ... Hands-on experience with deep learning frameworks such as PyTorch or JAX/XLA * Deep understanding ...

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

... g., PyTorch, TensorFlow) * Hands-on experience with MLOps frameworks and workflow tooling (e.g ... Understanding of CI/CD workflows and DevOps practices applied to ML systems (e.g., Git, Code Review ...

Senior Principal Software Engineer

Beaverton, OR · On-site

$130K - $180K/yr

Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools) * Strong track record with modern DevOps methodologies, automation, CI/CD pipelines, and ...

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean ... Experience with functional programming (e.g. Clojure) is a plus but not required. * Cloud and MLOps ...

Strong Python programming skills and experience with libraries and tools such as PyTorch or TensorFlow, Jupyter, pandas, NumPy, and Matplotlib * Experience using AI-assisted development tools ...

New

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

... learn, PyTorch, or TensorFlow • Practical experience using large language models via APIs for ... Programming languages: Python for building AI models, automation, and production services • SQL ...

Lead ML/Perception Engineer

OR · On-site +1

$102K - $134K/yr

You will set the technical bar, mentor engineers, and deliver capabilities that operate safely in ... Strong experience in ML/DL development with PyTorch/TensorFlow. * Direct experience developing or ...

Lead ML Engineer - Mapping

OR · On-site +1

$102K - $134K/yr

Expertise in ML/DL development using PyTorch or TensorFlow, including experience with distributed ... Strong programming skills in Python and/or C++ with experience in modular software design and Linux ...

Proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, XGBoost ... Ability to bridge engineering and science teams, and influence technical strategy across ...

Staff AI Research Engineer

Salem, OR · On-site

$216K - $338K/yr

Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch. * Experience with modern learning-from-demonstration tools such as DiffusionPolicy. * Experience ...

Staff AI Research Engineer

Salem, OR · On-site +1

$216K - $338K/yr

Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch. * Experience with modern learning-from-demonstration tools such as DiffusionPolicy. * Experience ...

Lead Machine Learning Engineer - Localization

OR · On-site +1

$102K - $134K/yr

Expertise in ML/DL development using PyTorch or TensorFlow, including experience with synthetic ... Strong programming skills in Python and/or C++ with experience in modular software design and Linux ...

Showing results 21-40

Pytorch Developer information

What is a PyTorch developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are some common challenges PyTorch developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What are the key skills and qualifications needed to thrive as a PyTorch developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What cities in Oregon are hiring for Pytorch Developer jobs?

Cities in Oregon with the most Pytorch Developer job openings:

Software Engineer (US-Remote)

Gnostech LLC

OR • On-site, Remote

Full-time

Re-posted 10 days ago


Job description

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Careers >> Software Engineer (US-Remote)
Software Engineer (US-Remote)
Summary
Title: Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area
Description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.

Overview

Location

  • US-Remote or Marlton, NJ area

Job Title

  • Software Engineer

Salary

  • Commensurate with industry position, depending on experience

Shift

  • Typical: Monday through Friday 9am to 5pm

Travel

  • Less than 5%

Position Responsibilities

  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance

  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills

  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications

  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required

  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience

  • 2+

===============================================================

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov 
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.

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