Proficiency in frameworks such as TensorFlow, PyTorch, or Keras. * Expert-level coding skills in Python or Java. * Solid understanding of data structures, algorithms, and software design principles.
Proficiency in frameworks such as TensorFlow, PyTorch, or Keras. * Expert-level coding skills in Python or Java. * Solid understanding of data structures, algorithms, and software design principles.
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 ...
Quick apply
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 ...
Gen AI Developer
Seattle, WA · On-site
$120K - $150K/yr
Must Have Technical/Functional Skills • Experience in executing projects in Agile Framework • Proven experience in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch). • ...
Gen AI Developer
Seattle, WA · On-site
$120K - $150K/yr
Must Have Technical/Functional Skills • Experience in executing projects in Agile Framework • Proven experience in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch). • ...
Java MS Developer | Onsite | Bellevue
$57.50 - $74.50/hr
Build pipelines to deploy ML models using frameworks like TensorFlow, PyTorch, or Scikit-learn. * Develop features for model re-training, data preprocessing, and version control. Testing and ...
Java MS Developer | Onsite | Bellevue
$57.50 - $74.50/hr
Build pipelines to deploy ML models using frameworks like TensorFlow, PyTorch, or Scikit-learn. * Develop features for model re-training, data preprocessing, and version control. Testing and ...
More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts ...
More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts ...
Senior Machine Learning Compiler Engineer
$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 ...
Senior Machine Learning Compiler Engineer
$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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Quick apply
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 ...
Senior Software Engineer, AI Networking
$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 ...
Senior Software Engineer, AI Networking
$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 ...
Experience with large-scale data processing and ML infrastructure, such as Spark, Flink, Beam, TensorFlow, PyTorch, JAX, or similar tools * Ability to take ML models from research or prototyping into ...
Experience with large-scale data processing and ML infrastructure, such as Spark, Flink, Beam, TensorFlow, PyTorch, JAX, or similar tools * Ability to take ML models from research or prototyping into ...
Experience with large-scale data processing and ML infrastructure, such as Spark, Flink, Beam, TensorFlow, PyTorch, JAX, or similar tools * Ability to take ML models from research or prototyping into ...
Experience with large-scale data processing and ML infrastructure, such as Spark, Flink, Beam, TensorFlow, PyTorch, JAX, or similar tools * Ability to take ML models from research or prototyping into ...
Experience with large-scale data processing and ML infrastructure, such as Spark, Flink, Beam, TensorFlow, PyTorch, JAX, or similar tools * Ability to take ML models from research or prototyping into ...
Experience with large-scale data processing and ML infrastructure, such as Spark, Flink, Beam, TensorFlow, PyTorch, JAX, or similar tools * Ability to take ML models from research or prototyping into ...
Experience with large-scale data processing and ML infrastructure, such as Spark, Flink, Beam, TensorFlow, PyTorch, JAX, or similar tools * Ability to take ML models from research or prototyping into ...
Experience with large-scale data processing and ML infrastructure, such as Spark, Flink, Beam, TensorFlow, PyTorch, JAX, or similar tools * Ability to take ML models from research or prototyping into ...
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 ...
Quick apply
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 ...
... as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The ...
... as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The ...
... as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The ...
... as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The ...
Trainee Consultant-Data Science
Seattle, WA · On-site
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 ...
Trainee Consultant-Data Science
Seattle, WA · On-site
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 ...
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 ...
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 ...
Experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, AXLearn and Scikit-learn. * Familiarity with integrating ML solutions into production systems and existing workflows at scale ...
Experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, AXLearn and Scikit-learn. * Familiarity with integrating ML solutions into production systems and existing workflows at scale ...
Tensorflow Pytorch information
See Seattle, WA salary details
$42.7K - $59.1K
2% of jobs
$59.1K - $75.6K
3% of jobs
$75.6K - $92K
6% of jobs
$92K - $108.5K
9% of jobs
$113.8K is the 25th percentile. Wages below this are outliers.
$108.5K - $124.9K
15% of jobs
The median wage is $135.9K / yr.
$124.9K - $141.4K
22% of jobs
$150.4K is the 75th percentile. Wages above this are outliers.
$141.4K - $157.8K
32% of jobs
$157.8K - $174.3K
3% of jobs
$174.3K - $190.7K
4% of jobs
$190.7K - $207.2K
1% of jobs
$207.2K - $223.6K
2% of jobs
$42.7K
$139.7K
$223.6K
How much do tensorflow pytorch jobs pay per year?
As of Jun 19, 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?
| Aspect | Tensorflow Pytorch | Data Scientist |
|---|---|---|
| Required Skills | Deep learning frameworks, Python, machine learning | Data analysis, statistical skills, Python/R, machine learning |
| Work Environment | AI/ML development, research, software engineering | Data analysis, reporting, business insights |
| Industry Usage | AI/ML projects, research labs, tech companies | Business, 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:
Job description
- Strong expertise in AI/ML implementation, including supervised, unsupervised, and reinforcement learning.
- Deep knowledge of neural networks and their applications.
- Proficiency in frameworks such as TensorFlow, PyTorch, or Keras.
- Expert-level coding skills in Python or Java.
- Solid understanding of data structures, algorithms, and software design principles.
- Design and implement AI/ML models and algorithms to solve complex business problems.
- Develop and maintain scalable and efficient codebases using Python or Java.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Conduct research and stay updated on the latest AI ML trends, tools, and technologies.
- Optimize existing AI models and algorithms for performance and scalability.
About Vy Systems
Sourced by ZipRecruiter
Company size
201 - 500 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2000