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Pytorch Developer Jobs in Oregon (NOW HIRING)

SentinelOne

Senior Backend Software Engineer, ObservoAI

OR · Remote

$122K - $161K/yr

... DevOps teams to translate strategic vision into technical solutions and company-wide standards ... TensorFlow, PyTorch) and MLOps practices for production ML systems. * Expert knowledge of ...

Nvidia

OR

$122K - $161K/yr

PyTorch, JAX, TensorFlow, ONNX, etc) and ideally inference engines and runtimes such as vLLM, SGLang, and MLC. * Strong Python and C/C++ programming skills * Strong experience in GPU kernel ...

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 ...

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

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

Anno.ai

OR

$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 ...

Logistics Management Institute

The ML Ops Engineer will work at the intersection of advanced AI/ML development, machine learning ... Learn, MLlib, TensorFlow, PyTorch, etc. * Practical experience in deploying AI/ML models in ...

OneStudyTeam

Senior Machine Learning Engineer

OR · Remote

$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 ...

Bausch + Lomb

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools. * Experience in business process analysis, process mapping, and workflow ...

Bausch+Lomb Companies Inc.

AI Agent ML Engineer

OR

$165K - $190K/yr

Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools. * Experience in business process analysis, process mapping, and workflow ...

Career Opportunities | (ISC)²

Familiarity with AI/ML frameworks (PyTorch, TensorFlow) and cloud-based AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI). * Working knowledge of AI governance frameworks: NIST AI RMF, OWASP ...

(ISC)2

Familiarity with AI/ML frameworks (PyTorch, TensorFlow) and cloud-based AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI). * Working knowledge of AI governance frameworks: NIST AI RMF, OWASP ...

Agility Robotics

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 ...

Agility Robotics

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 ...

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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 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 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 popular job titles related to Pytorch Developer jobs in Oregon? For Pytorch Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Oregon look for? The top searched job categories for Pytorch Developer jobs in Oregon are:
What cities in Oregon are hiring for Pytorch Developer jobs? Cities in Oregon with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Senior Backend Software Engineer, ObservoAI

Senior Backend Software Engineer, ObservoAI

SentinelOne

OR • Remote

$122K - $161K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago

Job description

As a Senior Software Engineer, you will be tasked with leading the architectural design and technical strategy for high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers. You will drive technical excellence and lead complex engineering initiatives at scale for the Observo.ai team, our cutting-edge AI-driven data pipeline optimization platform.

What Will You Do?

Primary responsibilities include:

  • Lead the architectural design and technical roadmap for scalable, high-performance data processing pipelines capable of handling petabyte-scale telemetry data (logs, metrics, traces).
  • Drive the development and optimization of ML-driven data routing and transformation engines to reduce customer data volumes by 80%+ while architecting real-time analytics systems using advanced machine learning and LLMs.
  • Design cloud-native microservices and APIs that integrate seamlessly with major observability platforms (Splunk, Elastic, Datadog) while establishing robust monitoring, alerting, and observability solutions.
  • Lead cross-functional technical initiatives and decision-making forums, collaborating with Product, Data Science, and DevOps teams to translate strategic vision into technical solutions and company-wide standards.
  • Provide technical leadership and mentorship to senior and junior engineers, driving system performance and reliability optimization while establishing engineering best practices and culture.
What Skills and Knowledge Will You Bring?

Ideal candidates will have:

  • 5+ years of software engineering experience focused on distributed systems, data engineering, or ML infrastructure with expert-level proficiency in Go, Rust, or Java.
  • Extensive experience with cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes), and a proven track record leading and scaling data pipelines using Kafka, Spark, or Flink.
  • Deep expertise in database technologies (SQL and NoSQL) and advanced experience with machine learning frameworks (TensorFlow, PyTorch) and MLOps practices for production ML systems.
  • Expert knowledge of observability tools and standards, including Prometheus, Grafana, ELK stack, OpenTelemetry, and Parquet, alongside extensive experience with Infrastructure as Code (Terraform).
  • Strong leadership and technical communication skills, with a track record of mentoring engineers, planning technical strategy, and driving decisions across multiple teams and stakeholders.
Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

Equity & Rewards

  • Restricted Stock Units (RSUs)
  • Employee Stock Purchase Plan (ESPP)

Time Off & Wellbeing

  • Flexible time off
  • Paid company holidays and paid sick time
  • Gender-neutral parental leave
  • Grandparent leave

Insurance & Financial Security

  • Medical, dental, and vision coverage
  • 401(k) retirement plan with company match
  • Life and disability insurance
  • Health and dependent care FSA
  • Voluntary benefits (hospital, accident, critical illness)
  • Employee Assistance Program (EAP)
  • ARAG pre-paid legal
  • Nationwide pet insurance
  • Cancer Care program
  • Global business travel medical insurance

Work Perks & Flexibility

  • Home office allowance
  • Mobile phone reimbursement

Wellness & Lifestyle

  • Wellness coach
  • Wellness/gym reimbursement
  • Fertility coverage
  • Adoption & surrogacy reimbursement

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