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Pytorch Jobs in Beaverton, OR (NOW HIRING)

Prodapt

Business Intelligence Analyst

Portland, OR · On-site

... PyTorch, Keras, Pandas, NumPy, Spark ML, NLTK, H2O, AutoML, RapidMiner, Rasa, cuDNN; * 3 years of experience with Statistical Modelling & ML Algorithms such as Regression, Time Series Analysis ...

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

... PyTorch, ONNX Runtime, and many others. This is a unique opportunity to work at the intersection of AI algorithms, lowlevel performance engineering, and cuttingedge Intel hardware, enabling ...

A-dec Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

... PyTorch, or TensorFlow • Practical experience using large language models via APIs for real world business use cases • Experience designing and implementing AI driven automation or agentic ...

Intel

Senior AI Software Architect - Runtime

Hillsboro, OR

$141K - $191K/yr

... as PyTorch, JAX, or TensorFlow. Preferred Qualifications * Experience managing and mentoring engineers, and leading delivery across cross-functional teams spanning hardware, systems software ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Python-based ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Data processing tools (Pandas, Spark, SQL) * Deploy models and services using: * REST APIs (FastAPI, Flask) * Containerization ...

Pwc

AI Solutions Engineering Delivery Lead

Portland, OR · On-site

$108K - $143K/yr

... PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud ...

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Showing results 41-60

All JobsPytorch JobsPytorch Jobs in Beaverton, OR

Pytorch information

See Beaverton, OR salary details

$80.1K

$143.7K

$206.1K

How much do pytorch jobs pay per year?

As of Aug 9, 2026, the average yearly pay for pytorch in Beaverton, OR is $143,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,547.00 and $175,724.00 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 popular job titles related to Pytorch jobs in Beaverton, OR? For Pytorch jobs in Beaverton, OR, the most frequently searched job titles are:
What job categories do people searching Pytorch jobs in Beaverton, OR look for? The top searched job categories for Pytorch jobs in Beaverton, OR are:
What cities near Beaverton, OR are hiring for Pytorch jobs? Cities near Beaverton, OR with the most Pytorch job openings:
Pytorch jobs near you
Infographic showing various Pytorch job openings in Beaverton, OR as of August 2026, with employment types broken down into 18% Internship, and 82% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $143,686 per year, or $69.1 per hour.

Business Intelligence Analyst

Prodapt

Portland, OR • On-site

Full-time

Re-posted 25 days ago

Job description

Overview
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A "Great Place To Work® Certified™" company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
Responsibilities
  • Perform exploratory data analysis and provide various insights into customer data using domain knowledge that would bring more value to the business.
  • Leverage predictive analytics and AI/ML techniques to generate actionable insights for customer behavior, operational trends, and churn management.
  • Study key data from the customer, inventory, network and trouble management systems and provide recommendations on the solutions that can be built out of the provided dataset.
  • Build data ingesting pipelines and maintain them in big data ecosystems.
  • Correlate analysis with real-time data from the customer database using churn data.
  • Design, build, test, and tune machine learning models using Python and other tools, focusing on accuracy and ensuring that intelligence is consistent with defined needs.
  • Create solutions by comparing various Machine Learning algorithms that would best fit for the customer churn and use cases.
  • Build the Machine Learning models in tools such as RapidMiner application to predict customer churn using Python scripts.
  • Use algorithmic and logical approach to determine initial set of potential ML models based on the data and results generated.
  • Maintain and suggest tools and technologies for increased productivity.
  • Build and update business intelligence reports, databases, and dashboards to provide users with detailed intelligence.
  • Architect end-to-end Machine Learning Model Deployment and Data Versioning pipeline in a production environment to identify data patterns and trends.
  • Participate in model and algorithm deployment into production, which needs a separate pipeline built with support for monitoring and alerting.
  • Align code branches to be managed with the latest algorithms to be used for customer churn predictability.
  • Assure adherence to business intelligence standards, methodologies, and practice.
  • Maintain the project codes/ model versions using GIT/SVN version controlling tools.
  • Document all the project details and activities in the organization's Confluence pages.
  • Develop technical design documentation to ensure the accurate development of reporting solutions.
  • Create status reports on a weekly and monthly basis with an accurate assessment of the deliverables.
  • Work with the team on the various AI/ML technologies, and business intelligence systems and tools, perform tests, and work with project managers and team on project deliverables.
  • Attend project meetings and work on ad hoc project report requests.
  • Triage requirement gathering, identify business value for scenarios by working with product owners, and optimize data-driven decision making.
  • Utilize statistical concepts/methodologies to correlate inventory, network statistics, and trouble management systems.
  • Explore and integrate AI/ML and GenAI frameworks to enhance customer communications and operational insights, including IVR call analytics and AI-driven outage intelligence across digital and self-service channels.
  • Telecommuting and working from home permitted from anywhere in the U.S.
  • Travel and relocation possible to unanticipated client locations throughout the U.S.
  • Domestic travel required approximately 10% of the time to various client sites.

Requirements
  • Bachelor's degree or foreign equivalent in Computer Science, Data Sciences, or Information Systems and 3 years of experience in the job offered or 3 years of experience in the related occupations of Lead Engineer, Software Engineer, Application Developer, or equivalent.
  • Prior experience must include 3 years of experience with GenAI Technologies such as LLMs, Prompt Design, Prompt Engineering, LangChain, Hugging Face;
  • 3 years with AI/ML Technologies such as Scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, Spark ML, NLTK, H2O, AutoML, RapidMiner, Rasa, cuDNN;
  • 3 years of experience with Statistical Modelling & ML Algorithms such as Regression, Time Series Analysis, Random Forests, Gradient Boosting, K-Means, KNN, Neural Networks;
  • 3 years of experience with Model Evaluation & Testing such as Accuracy, Precision, Recall, Cross-Validation, A/B Testing, Hypothesis Testing;
  • 3 years of experience with MLOps & Deployment such as Docker, Kubernetes (AKS), CI/CD, Model Monitoring, Data Versioning;
  • 3 years of experience with API & Backend Development such as REST APIs, FastAPI, Uvicorn;
  • 3 years of experience with Data Engineering & Orchestration such as Apache Airflow, Kafka, Flume, Hadoop, Drill;
  • 3 years with Data Visualization & BI Tools such as Matplotlib, Seaborn, Grafana, Power BI, Tableau, Superset;
  • 3 years with Databases & Data Warehouses such as Snowflake, PostgreSQL, Oracle, MySQL, HBase, Hive, SQL;
  • 3 years with Cloud Technologies such as Azure (OpenAI, AI Search, ML), AWS (S3, Athena), GCP (Dialog flow, Data Studio);
  • 3 years with DevOps & Collaboration Tools such as Git, Jira, Confluence, Azure DevOps;
  • 3 years with Operating Systems such as Windows, Linux.
  • Travel and relocation possible to unanticipated client locations throughout the U.S.
  • Domestic travel required approximately 10% of the time to various client sites.

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