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Tensorflow Pytorch Jobs in Seattle, WA (NOW HIRING)

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 ...

Tata Consultancy Services

Gen AI Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

Responsibilities : • Develop and implement generative AI models using frameworks like TensorFlow and PyTorch. • Build and optimize RAG (Retrieval-Augmented Generation) pipelines. • Work on NLP ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA

$139K - $183K/yr

... PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/yr

... PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The ...

Arkhya Tech

Senior AI/ML Consultant

Seattle, WA · On-site

Develop and deploy ML models using Python and frameworks such as TensorFlow, PyTorch, or scikit-learn * Build end-to-end ML pipelines including MLOps, CI/CD, and model monitoring * Work with large ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

... Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.). * 4-6 years of experience with ClassicAI/GenAI ML Model Operationalization in Production. * 4 to 6 years of ...

Nvidia

Senior Software Engineer, AI Networking

Seattle, WA

$139K - $183K/yr

Proficiency in building and using ML models with leading frameworks such as PyTorch or TensorFlow, or JAX. * Proven ability to apply GNNs/transformers-based optimization to PyTorch model graph and ...

Qualtrics

Staff Applied Scientist

Seattle, WA · On-site

TensorFlow, PyTorch, MXNet etc) * Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.) * Proven track record in evaluating ...

Qualtrics

Staff Applied Scientist

Seattle, WA · On-site

TensorFlow, PyTorch, MXNet etc) * Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.) * Proven track record in evaluating ...

Kanak Elite Services Inc

Sr ML Platform Manager

Seattle, WA · On-site

$144K - $190K/yr

Proficiency in programming languages such as Python, R, or Java; experience with machine learning frameworks (TensorFlow, PyTorch, etc.); strong understanding of data engineering principles. MLOps ...

Qualtrics

Applied Scientist II

Seattle, WA · On-site

TensorFlow, PyTorch, MXNet etc) * Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.) What You Should Know About This Team * The ...

Qualtrics

Applied Scientist II

Seattle, WA · On-site

Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar. How You'll Grow * Passion for leveraging cutting ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/yr

More specifically, the Amazon Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and ...

Intac Solution

[CLOSED] 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 ...

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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 Jul 10, 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.
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Tensorflow Pytorch jobs near you
Artificial Intelligence Engineer

Artificial Intelligence Engineer

Staffingine LLC

Bellevue, WA • On-site

$129K - $155K/yr

Contractor

Re-posted 2 days ago

Job description

Job Title: Artificial Intelligence Engineer
Job Location: Bellevue - Washington
Job Type: Contract

Job Description:

  • Lead the development and deployment of machine learning models and analytical solutions for business problems.
  • Partner with stakeholders to identify opportunities for data science to add value.
  • Design experiments and AB tests to evaluate product and feature performance.
  • Build predictive models optimization algorithms or forecasting systems as needed.
  • Analyze large complex datasets to derive actionable insights.
  • Communicate technical findings clearly to nontechnical audiences.
  • Mentor and support junior data scientists and analysts.
  • Ensure best practices in code documentation and reproducibility.

Required Qualification

  • Masters or PhD in Computer Science Statistics Mathematics or a related field.
  • Proficiency in Python or R and strong SQL skills.
  • Experience with ML frameworks eg scikitlearn XGBoost TensorFlow PyTorch.
  • Strong knowledge of statistics experimental design and causal inference.
  • Handson experience with data visualization tools eg Tableau Plotly Dash.
  • Ability to translate business questions into analytical problems.
  • Excellent communication and collaboration skills.

Mandatory Skills : Python - Data Science