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Tensorflow Pytorch Jobs in Seattle, WA (NOW HIRING)

Intac Solution

[CLOSED] Network Tester

Bellevue, WA

$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 ...

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 ...

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 ...

Axon

AI Scientist I

Seattle, WA · On-site +1

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.

AvePoint

Principal Data Scientist

Seattle, WA

$200K - $245K/yr

Proficiency with Python and major ML/data libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch). * Strong background in data wrangling, cleansing, feature engineering, and ETL pipeline ...

New

Deloitte

Generative AI Engineer III

Seattle, WA · On-site

$65.50 - $88/hr

... PyTorch, and TensorFlow • 1+ years of technology consulting experience in the State Government or Local Government space • Active certification in Python, PySpark, PyTorch, or TensorFlow • ...

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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 Jun 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 the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

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.

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 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.

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 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

Julia Architect / Principal Engineer

Symbolic Mind

Seattle, WA • On-site

Full-time

Posted 14 days ago

Job description

Job Description
Proficiency in Julia programming language is required, with hands-on experience in developing and optimizing Julia-based applications.
We are seeking an experienced Julia Architect/Principal Engineer with a strong background in mathematics and physics, specializing in AI solutions. In this pivotal role, you'll leverage your expertise in the Julia programming language to design and implement innovative AI models and frameworks. Your leadership will drive the creation of scalable, efficient AI systems, making significant contributions to our cutting-edge AI architecture and ensuring seamless integration into diverse applications.
This position requires candidates to be located in Seattle or Northern California, or be willing to relocate to one of these areas.
Responsibilities:
  • Architect and Design Solutions: Lead the design and architecture of software solutions using Julia, ensuring scalability, performance, and maintainability.
  • ML Development Leadership: Oversee the development of advanced AI models and frameworks, writing clean, efficient, and well-documented code.
  • Team Collaboration: Work closely with stakeholders and cross-functional teams, including CTO, AI scientists, data scientists, and developers, to deliver high-quality AI solutions.
  • Optimization and Integration: Conduct rigorous testing, profiling, and optimization to ensure system reliability, performance, and seamless application integration.

Details:
  • Full-time role
  • We are seeking candidates who are local to Seattle or Northern California, or willing to relocate. Relocation assistance may be available for the right candidate.

Requirements
  • Proven experience as a Julia programmer, with strong coding and architecture expertise.
  • Extensive knowledge of the Julia ecosystem and its application to AI and system design.
  • Experience with modern LLM Tool stack.
  • Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) and Julia ML packages.
  • Extensive experience in developing scalable, high-performance, data-intensive applications.
  • Experience with distributed systems, parallel computing, GPU programming, cloud-based ML architectures.
  • Experience with building, fine tuning/RAG of LLMs.
  • Strong mathematical and physics background, with expertise in problem-solving and algorithm development.
  • Strong expertise in machine learning algorithms, frameworks, and systems design.
  • Degree in Mathematics, Physics, Computer Science, Engineering, or a related field.
  • Familiarity with Python and its use in ML workflows and data science.

Benefits
  • Competitive salary and benefits package, with a clear path for career advancement.
  • An inclusive, multicultural team environment that values knowledge sharing and open dialogue.
  • Equity participation, aligning your success with the company's growth.
  • Remote-friendly environment.

Apply