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Tensorflow Pytorch Jobs in North Bend, WA (NOW HIRING)

Apple

Machine Learning Engineer - Health AIML

Seattle, WA

$205K - $374K/yr

  • Medical

  • Dental

  • Retirement

Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface). Proficiency in building and troubleshooting modern ...

Axon

AI Scientist I

Seattle, WA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.

Amazon

Senior Applied Scientist , Amazon Ads

Seattle, WA · On-site

$104K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... TensorFlow, PyTorch, Spark MLLib, MxNet, numpy, scipy Experience with large-scale distributed systems (Hadoop, Spark, etc.) BASIC QUALIFICATIONS - 3+ years of building machine learning models for ...

General Robotics

Systems Engineer

Redmond, WA · On-site

... PyTorch, JAX, TensorFlow) for robotics applications. • Build and maintain containerized deployment pipelines using Kubernetes and Docker. • Collaborate with research teams to translate model ...

Oracle

Principal Core Infrastructure Engineer

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Understanding machine learning frameworks and libraries such as TensorFlow, PyTorch, or sci-kit-learn and their deployment in production environments is a plus. Familiarity with DevOps practices and ...

Union.ai

Staff Software Engineer

Bellevue, WA · On-site

$212K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Working with Machine Learning concepts and frameworks, including TensorFlow, PyTorch, and Spark; Bridging traditional software development with cutting-edge ML applications; Utilizing Python ...

Axon

Senior Machine Learning Scientist

Seattle, WA · On-site

$104K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.

Axon

Senior Machine Learning Scientist

Seattle, WA · On-site

$104K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.

kidder

Enterprise AI Engineer I

Seattle, WA

... TensorFlow, PyTorch) 5. Strong analytical and problem-solving skills, with the ability to interpret complex data sets 6. Knowledge of data preprocessing techniques, feature engineering, and ...

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Showing results 21-40

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in North Bend, WA

Tensorflow Pytorch information

See North Bend, WA salary details

$40.9K

$133.9K

$214.4K

How much do tensorflow pytorch jobs pay per year?

As of Aug 20, 2026, the average yearly pay for tensorflow pytorch in North Bend, WA is $133,943.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $148,400.00 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 cities near North Bend, WA are hiring for Tensorflow Pytorch jobs?

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

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in North Bend, WA as of June 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $133,943 per year, or $64.4 per hour.

Senior Applied Scientist , Amazon Ads

Amazon

Seattle, WA

$104K - $142K/yr

Full-time

Posted 21 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,098 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Your Next Big Challenge Starts Here
You've spent years mastering machine learning. Now imagine applying that expertise where it actually reaches billions of people - every single day.
At Amazon Ads, we're not just running ads. We're re-inventing the entire advertising experience using generative AI, large language models, and next-generation ML

From the moment a brand crafts a campaign to the instant a customer discovers something they love - your science powers it all.
Billions of impressions. Millions of clicks. Petabytes of data

And you - at the center of it.
Why This Role Will Excite You
Unmatched scale and resources. You'll have access to computational power and datasets most scientists only dream about. Build solutions that don't just work in a notebook - they work at planet scale.
Breadth that keeps you sharp

One quarter you might be optimizing real-time bidding systems. The next, you're building creative AI that generates ad content. Ranking, personalization, NLP, computer vision, LLMs - it's all on the table.
Your ideas ship

This isn't a research lab where papers collect dust. You'll take models from concept to production, run A/B experiments, and see your work move metrics that matter - for advertisers, customers, and the business.
People who push you forward. You'll collaborate with world-class engineers, scientists, and product leaders who are just as passionate about solving hard problems as you are.
What You'll Actually Do
Research and build next-generation ML solutions - including generative AI and LLM applications - that transform how advertising works
Own end-to-end projects: from messy, ambiguous problems to deployed, production-grade models
Design experiments that validate your hypotheses and measure real business impact
Build models that balance what's best for customers and advertisers - because great advertising should feel helpful, not intrusive
Work cross-functionally with engineers, PMs, and fellow scientists to ship fast and iterate faster
Develop scalable ML pipelines that optimize monetization without sacrificing customer experience
Where This Takes Your Career
Whether you want to go deep as a technical IC or grow into people leadership - both paths are real here

You'll have opportunities to:
Lead high-visibility technical initiatives
Mentor and grow other scientists
Shape strategy alongside senior leadership
Build a reputation in a community that genuinely values scientific excellence
Your work won't just be seen internally - it'll impact millions of customers and advertisers worldwide.
Watch Scientists at Amazon Ads Talk About Their Work
https://www.youtube.com/watch?v=vvHsURsIPEA
Learn More About Amazon Ads
https://advertising.amazon.com/
Basic Qualifications
5+ years building ML models for real business applications
PhD, or Master's degree + 6 years of applied research experience
Strong programming skills in Python, Java, C++, or similar
Hands-on experience with deep learning and neural network methods
Preferred Qualifications
Experience with tools like scikit-learn, TensorFlow, PyTorch, Spark MLLib, MxNet, numpy, scipy
Experience with large-scale distributed systems (Hadoop, Spark, etc.)

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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