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Tensorflow Pytorch Jobs in Seattle, WA (NOW HIRING)

Intac Solution

Network Tester

Bellevue, WA · On-site

$34 - $36/hr

Proficiency in AI/ML platforms and APIs (e.g., OpenAI, TensorFlow, PyTorch, Hugging Face, Azure AI Studio). * Detect and track software defects and inconsistencies; analyzing the testing results and ...

Union.ai

Staff Software Engineer

Bellevue, WA · On-site

... TensorFlow, PyTorch, and Spark • 6 years of experience bridging traditional software development with cutting-edge ML applications • 6 years of experience utilizing Python Internals • 6 years ...

Union.ai

Staff Software Engineer

Bellevue, WA · On-site

... TensorFlow, PyTorch, and Spark • 6 years of experience bridging traditional software development with cutting-edge ML applications • 6 years of experience utilizing Python Internals • 6 years ...

Infotech Sourcing

Software Engineer II

Kirkland, WA

$110K - $151K/yr

Experience with ML frameworks (TensorFlow, PyTorch). Experience building MCP (Model Context Protocol) servers or custom tool integrations. Experience installing and configuring Kubernetes, Docker ...

Infotech Sourcing

Software Engineer II

Kirkland, WA · On-site

$110K - $151K/yr

Experience with ML frameworks (TensorFlow, PyTorch). Experience building MCP (Model Context Protocol) servers or custom tool integrations. Experience installing and configuring Kubernetes, Docker ...

VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

TensorFlow and PyTorch; 4. Framework: Django ; Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: 3-4 Years of Experience in developing Automations using Python language Core ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Seattle, WA

Tensorflow Pytorch information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do tensorflow pytorch jobs pay per year?

As of Aug 20, 2026, the average yearly pay for tensorflow pytorch in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What are popular job titles related to Tensorflow Pytorch jobs in Seattle, WA?

For Tensorflow Pytorch jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Seattle, WA look for?

The top searched job categories for Tensorflow Pytorch jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Tensorflow Pytorch jobs?

Cities near Seattle, WA with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Seattle, WA as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Trainee Consultant-Data Science

Applexus Technologies

Seattle, WA • On-site

Full-time

Re-posted 9 days ago

Job description

United States of America Seattle Full Time
Applexus is a global technology and business consulting firm founded in 2005 and headquartered in Seattle, with delivery centers across North America, Canada, the United Kingdom, and India. We help enterprises realize value from AI and advanced analytics by applying AI/ML solutions directly to core business processes. With strong foundations in SAP and enterprise platforms, Applexus delivers AI-driven transformation across SAP S/4HANA, data modernization, analytics, and cloud-native architectures. Our focus is on translating enterprise data into actionable intelligence that improves decision-making, operational efficiency, and business outcomes. Applexus approaches AI pragmatically designing solutions that are scalable, governed, and ready for real-world enterprise deployment.
Applexus AI Practice
The Applexus AI Practice is built on deep domain expertise and a strong understanding of enterprise systems, particularly SAP. We combine this knowledge with our proprietary AI accelerators to help organizations move from AI exploration to production-ready implementation. Our teams embed intelligent automation into the fabric of enterprise operations, enabling AI systems that operate within existing workflows rather than alongside them. These solutions are designed to integrate seamlessly with SAP landscapes while meeting enterprise standards for security, reliability, and performance. A key area of focus is Agentic AI-autonomous, goal-driven systems that can reason and act across enterprise processes. By pairing agentic architectures with SAP domain expertise, Applexus delivers AI solutions that are context-aware, governed, and built for scale.
About the Role:
We are looking for a motivated and inquisitive Trainee Consultant - Data Science to join our team. In this role, you will contribute to real-world machine learning and data science projects under the mentorship of experienced professionals. This opportunity is ideal for individuals who are eager to apply their academic knowledge, expand their technical skills, and gain hands-on experience in AI/ML technologies in a collaborative environment.
Skills & Qualifications:
  • Master's degree in data science, Artificial Intelligence, or a related field from an accredited U.S. university.
  • Proficiency in Python
  • Familiarity with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or Keras.
  • Solid understanding of statistics, linear algebra, and core machine learning algorithms.
  • Strong analytical and problem-solving abilities.
  • Capable of working both independently and collaboratively in a team environment.
Key Responsibilities:
  • Assist in the design, development, and evaluation of machine learning models.
  • Perform data cleaning, preprocessing, and feature engineering tasks.
  • Contribute to projects involving predictive modeling, natural language processing (NLP), or computer vision.
  • Utilize Python and tools such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch in project execution.
  • Collaborate with team members to analyze outcomes and generate actionable insights.
  • Maintain thorough documentation of work, models, and findings.
What You'll Gain:
  • Practical, hands-on experience with leading AI/ML technologies.
  • Mentorship and guidance from experienced professionals in the field.
  • Opportunity to contribute to real-world projects with measurable impact.
  • Potential consideration for future full-time roles will be based on performance during the training tenure.
How to Apply
Interested candidates may apply through the career site by submitting their full resume.
  • Preference will be given to U.S. Citizens and Green Card holders.
  • Candidates on OPT with STEM extension eligibility are also welcome to apply and will be considered based on merit. If on OPT, please specify the validity period and indicate STEM eligibility.

Location: Seattle, USA Work Hours: Full Time (40 hours per week)
Join the Team

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