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Tensorflow Pytorch Jobs (NOW HIRING)

Transparent Search Group

AI Engineer

Sunnyvale, CA · Hybrid

$225K - $300K/yr

Key Responsibilities Design and develop AI/ML models using Python, TensorFlow, PyTorch, and ONNX. Optimize model performance and deploy solutions across distributed automotive environments.

Palnar

AI/ML Architect

Nashville, TN · On-site

$61.50 - $79.25/hr

Strong expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. * Experience with designing and implementing end-to-end machine learning pipelines. * Proficiency in data ...

Prophecy Technologies

AI/ML Engineer

Philadelphia, PA · On-site

Experience with AI frameworks including TensorFlow, PyTorch, or Keras * Strong understanding of machine learning, deep learning, NLP, and computer vision * Knowledge of cloud platforms such as AWS ...

Virtusa

Machine Learning Engineer

Minneapolis, MN · On-site

Required Qualification:- - 5+ years software engineering with 2+ years shipping ML models to production. - Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch). - Experience ...

VTG

Data Scientist

Mclean, VA

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

Cornerstone

Associate AI Engineer

Dublin, CA · On-site

Build and experiment with AI frameworks such as TensorFlow, PyTorch, and/or Hugging Face * Write clean, well-documented Python code and actively participate in code reviews * Leverage AI-powered ...

Cornerstone OnDemand

Associate AI Engineer

Dublin, CA · On-site

Build and experiment with AI frameworks such as TensorFlow, PyTorch, and/or Hugging Face * Write clean, well-documented Python code and actively participate in code reviews * Leverage AI-powered ...

VTG

Data Scientist

Chantilly, VA · On-site

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

Purple Drive Technologies

AI Engineer

Louisville, KY · On-site

Leverage frameworks such as TensorFlow, PyTorch, or Scikit-learn for model development and optimization. * Work with cloud-based AI services (Azure AI, AWS SageMaker, Google Vertex AI, etc.) for ...

VTG

Data Scientist

Herndon, VA

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

Quest Global

Data AI/ML Engineer

Sunnyvale, CA · On-site

$100K - $105K/yr

Implementing appropriate ML algorithms and using frameworks like TensorFlow or PyTorch. * Building scalable ML pipelines, deploying models into production environments (often using Docker, Kubernetes ...

Quest Global

Data AI/ML Engineer

Sunnyvale, CA

$100K - $105K/yr

Implementing appropriate ML algorithms and using frameworks like TensorFlow or PyTorch. * Building scalable ML pipelines, deploying models into production environments (often using Docker, Kubernetes ...

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Tensorflow Pytorch information

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$37.5K

$122.7K

$196.5K

How much do tensorflow pytorch jobs pay per year?

As of May 30, 2026, the average yearly pay for tensorflow pytorch in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.

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 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.

More about Tensorflow Pytorch jobs
What cities are hiring for Tensorflow Pytorch jobs? Cities with the most Tensorflow Pytorch job openings:
What states have the most Tensorflow Pytorch jobs? States with the most job openings for Tensorflow Pytorch jobs include:
What job categories do people searching Tensorflow Pytorch jobs look for? The top searched job categories for Tensorflow Pytorch jobs are:
Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 90% Full Time, 4% Part Time, and 5% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

AI Engineer

Transparent Search Group

Sunnyvale, CA • Hybrid

$225K - $300K/yr

Full-time

Posted 19 days ago

Job description

AI Engineer Automotive Software Innovation (Sunnyvale, CA | Hybrid | $225K to $300K)

About the Company

A rapidly growing automotive technology company is revolutionizing the evolution of vehicles through software. Their AI-driven platform enables next-generation, software-defined vehicles, bridging the gap between automotive reliability and consumer-grade innovation. With technology already deployed in over 5 million vehicles worldwide, they are trusted by top global OEMs to power the future of connected mobility.

Role Overview

We are seeking a highly skilled AI Engineer with deep expertise in machine learning, data science, and model optimization. This is a hands-on role where you'll help design, implement, and deploy scalable AI models that enhance intelligent vehicle systems. You'll collaborate closely with cross-functional teams across data, embedded systems, and cloud infrastructure to deliver production-ready AI solutions.

Key Responsibilities

Design and develop AI/ML models using Python, TensorFlow, PyTorch, and ONNX.

Optimize model performance and deploy solutions across distributed automotive environments.

Collaborate with data and engineering teams to operationalize ML pipelines using MLOps best practices.

Conduct experiments, evaluate models, and iterate to ensure reliability, efficiency, and scalability.

Present solutions and technical insights to leadership and technical peers.

Requirements

Bachelors or Masters degree in Computer Science, AI/ML, or related field.

4+ years of experience in applied machine learning or AI engineering.

Strong proficiency in Python and experience with TensorFlow, PyTorch, or similar frameworks.

Solid understanding of data pipelines, MLOps, and model deployment.

Experience with real-time, embedded, or distributed systems is a strong plus.

Excellent communication skills and a collaborative, problem-solving mindset.

Location & Work Setup

Hybrid Sunnyvale, CA

Compensation

$225,000 $300,000 + competitive benefits

Interview Process

Recruiter Screening

Technical Interview (Python Coding)

Onsite Technical Presentation (Algorithms, ML, Data Science)

Final Interview with CTO