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Tensorflow Pytorch Jobs in Seattle, WA (NOW HIRING)

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 • ...

Uber

Scientist II - Reservations

Seattle, WA · On-site

D.). 3. Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), underpinned by a solid grasp of MLOps practices, including design ...

Uber

Scientist II - Reservations

Seattle, WA · On-site +1

D.).3. Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), underpinned by a solid grasp of MLOps practices, including design ...

Axon

Senior Machine Learning Scientist

Seattle, WA · On-site

$104K - $142K/yr

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 · On-site

$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 ...

Alaska Airlines

Manager, AI

Seattle, WA

$149K - $224K/yr

Proficiency in Python and experience with AI/ML libraries such as TensorFlow, PyTorch, Scikit-Learn, and XGBoost. * Strong expertise in machine learning, deep learning, and Generative AI (e.g., GPT ...

Alaska Airlines

Manager, AI

Seatac, WA

$149K - $224K/yr

Proficiency in Python and experience with AI/ML libraries such as TensorFlow, PyTorch, Scikit-Learn, and XGBoost. * Strong expertise in machine learning, deep learning, and Generative AI (e.g., GPT ...

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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 Jun 22, 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
Generative AI Engineer III

Generative AI Engineer III

Deloitte

Seattle, WA • On-site

$65.50 - $88/hr

Full-time

Posted 9 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte's AI & Engineering team is focused on transforming technology platforms and driving innovation to significantly impact clients' success. As a Generative AI Engineer III, you will design and deploy machine learning and AI solutions while collaborating with various stakeholders to translate requirements into technical solutions.
Responsibilities:
• Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases
• Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
• Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
• Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
• Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
• 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
• 3+ years of experience programming in Python, PySpark, 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
• Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
• Ability to obtain and maintain a US government security clearance
• 2+ years of experience deploying machine learning models into production environments
• 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
• 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
• 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes
Company:
Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Founded in 2008, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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