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Pytorch Jobs in Seattle, WA (NOW HIRING)

Globenet Consulting Corp

AI/ML Technical Lead

Bellevue, WA · On-site

$150 - $230/hr

Experience with PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, or similar frameworks. * Experience developing and deploying production machine learning models. * Strong knowledge of algorithms ...

New

Globenet Consulting Corp

AI/ML Technical Lead

Lynnwood, WA · On-site

$130K - $155K/yr

Experience with PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, or similar frameworks. * Experience developing and deploying production machine learning models. * Strong knowledge of algorithms ...

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Experience with ML frameworks eg scikitlearn XGBoost TensorFlow PyTorch. * Strong knowledge of statistics experimental design and causal inference. * Handson experience with data visualization tools ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

Run experiments at scale with deep learning frameworks like PyTorch * Develop and maintain clean, modular ML infrastructure * Collaborate on model deployment and inference optimizations * Read and ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $275K/yr

Run experiments at scale with deep learning frameworks like PyTorch * Develop and maintain clean, modular ML infrastructure * Collaborate on model deployment and inference optimizations * Read and ...

General Robotics

Systems Engineer

Redmond, WA · On-site

$155K - $205K/yr

Optimize GPU/CUDA workloads and accelerate ML frameworks (PyTorch, JAX, TensorFlow) for robotics applications. * Build and maintain containerized deployment pipelines using Kubernetes and Docker.

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Pytorch information

See Seattle, WA salary details

$87.1K

$156.2K

$224K

How much do pytorch jobs pay per year?

As of Aug 7, 2026, the average yearly pay for pytorch in Seattle, WA is $156,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,478.00 and $191,028.00 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 Seattle, WA? For Pytorch jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Pytorch jobs in Seattle, WA look for? The top searched job categories for Pytorch jobs in Seattle, WA are:
Pytorch jobs near you
Infographic showing various Pytorch job openings in Seattle, WA 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 $156,199 per year, or $75.1 per hour.

AI/ML Technical Lead

Globenet Consulting Corp

Bellevue, WA • On-site

$150 - $230/hr

Other

Posted 2 days ago

New

Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development
Role: AI/ML Technical Lead Location: Fort Belvoir, VA 22060 Let’s Create Our Future Together at The AES Group! Position Overview

We are seeking an AI/ML Technical Lead to design, build, and deploy scalable machine learning models and AI-powered solutions. This role will collaborate with engineering, product, data, and business teams to transform complex data into practical, measurable solutions. The ideal candidate has strong technical leadership, problem-solving skills, production AI/ML experience, and expertise in Large Language Models.

Key Responsibilities
  • Lead the design, development, training, testing, and deployment of AI and machine learning models.
  • Build scalable ML pipelines for data processing, model training, validation, and production deployment.
  • Work with structured and unstructured data, including text, images, documents, and large datasets.
  • Collaborate with data engineers, software engineers, and product teams to integrate AI/ML capabilities into applications.
  • Evaluate and improve model accuracy, efficiency, reliability, scalability, and performance.
  • Develop predictive models, recommendation systems, NLP tools, automation workflows, and generative AI solutions.
  • Research and apply modern AI/ML tools, techniques, architectures, and best practices.
  • Monitor deployed models and address model drift, bias, data quality, and performance issues.
  • Document model architecture, assumptions, limitations, metrics, and technical decisions.
  • Promote responsible AI practices related to security, privacy, fairness, governance, and compliance.
  • Provide technical direction, code reviews, mentoring, and implementation guidance to engineering teams.
Required Qualifications
  • Active Secret security clearance or higher.
  • Bachelor’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related field.
  • Three or more years of experience in AI, machine learning, data science, or software engineering.
  • Strong Python programming skills.
  • Experience with PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, or similar frameworks.
  • Experience developing and deploying production machine learning models.
  • Strong knowledge of algorithms, feature engineering, statistical analysis, and model evaluation.
  • Experience processing large datasets using modern data tools.
  • Familiarity with APIs, cloud platforms, and software development practices.
  • Ability to communicate complex technical concepts to technical and non-technical stakeholders.
Preferred Qualifications
  • Master’s degree or PhD in a related field.
  • Experience with Generative AI, LLMs, NLP, computer vision, or deep learning.
  • Experience with Ask Sage, Hugging Face, LangChain, OpenAI APIs, Azure AI, AWS SageMaker, or Google Vertex AI.
  • Experience with MLflow, Kubeflow, Airflow, Docker, Kubernetes, and CI/CD pipelines.
  • Experience with SQL, Spark, Databricks, Snowflake, or cloud data warehouses.
  • Knowledge of AI governance, ethics, bias testing, security, and data privacy standards.
  • Experience deploying AI solutions in enterprise environments.
Technical Skills
  • Languages: Python, SQL, and R
  • ML Frameworks: PyTorch, TensorFlow, Scikit-learn, and XGBoost
  • Cloud Platforms: AWS, Microsoft Azure, or Google Cloud
  • MLOps: Docker, Kubernetes, MLflow, Airflow, and CI/CD
  • Data Tools: Pandas, NumPy, Spark, Snowflake, and Databricks
  • AI/LLM Tools: Ask Sage, Hugging Face, LangChain, OpenAI, and vector databases
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