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Tensorflow Pytorch Jobs (NOW HIRING)

Reveille Technologies

ML Ops Engineer

Concord, CA · On-site

Concord, California Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) Develop and maintain ML pipelines using tools like MLflow, Kubeflow ...

Jobtailor

Lead Data/AI Engineer

Plano, TX · On-site

$120 - $160/hr

Develop, deploy, and monitor AI/ML models with frameworks such as TensorFlow, PyTorch, and Scikit-Learn, and operationalize these models via APIs and batch or streaming services. * Ensure data ...

New

Centstone

Senior GenAI Engineer

Jersey City, NJ · On-site

$60 - $70/hr

Proficiency in Python and Java (R preferred) with experience using TensorFlow, PyTorch, and Scikit-learn. * Experience deploying enterprise AI/ML solutions ,AWS, Azure, Google Cloud Platform (GCP)

Perfict

Python developer

Fremont, CA · On-site

$55.25 - $76/hr

... such as TensorFlow, PyTorch, or Scikit-learn • Proficiency in data handling and manipulation using libraries like NumPy and Pandas • Experience with SQL databases for managing and accessing ...

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 ...

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 ...

Flexton Inc

Expert AI/ML Engineer

Oakland, CA · On-site

  • Medical

  • Dental

Experience with Python and common ML/data science libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, or similar. Practical experience with MLOps concepts such as model ...

VTG

Data Scientist

Chantilly, 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 ...

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 ...

Flexton Inc

Expert AI/ML Engineer

Oakland, CA · On-site

  • Medical

  • Dental

Experience with Python and common ML/data science libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, or similar. * Practical experience with MLOps concepts such as model ...

ClifyX

Senior AI/ML Developer

Irving, TX · On-site

Required : • 5+ years of hands on with ML technologies. • Expert Python and strong experience with ML/DL frameworks (TensorFlow, PyTorch, scikit learn) • Hands on experience with LLMs, RAG ...

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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 Aug 19, 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 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 are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

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 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?

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What states have the most Tensorflow Pytorch jobs?

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What job categories do people searching Tensorflow Pytorch jobs look for?

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Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Staff Machine Learning Engineer, Generative AI Modeling, Inference

Jobtailor

California, MO • On-site

$180 - $240/hr

Other

Posted yesterday

New

Job description

  • Develop innovative machine learning technology and products serving millions of Snapchatters
  • Build cutting-edge augmented reality experiences using generative models
  • Deliver generative machine learning experiences on device
  • Partner with cross-functional Snap teams to explore and prototype new products
Requirements
  • Proven passion for machine learning and staying current with research
  • Familiarity with neural networks, deep learning, and generative modeling
  • Deep understanding of mathematics and/or machine learning algorithms
  • Ability to solve open, ambiguous problems
  • Ability to collaborate effectively with internal teams and external partners
  • Ability to work independently
  • Bachelor's degree in a technical field such as computer science, mathematics, or statistics, or equivalent years of experience
  • 8+ years of post-Bachelor’s machine learning or related experience; or a Master’s degree in a technical field plus 7+ years of post-graduate ML or related experience; or a PhD in a related technical field plus 4+ years of post-graduate ML or related experience
  • Experience with computer vision or generative modeling techniques
  • Experience with TensorFlow, PyTorch, JAX, MLX, scikit-learn, or related frameworks
  • Preferred: advanced degree in computer science or related field
  • Preferred: experience training large-scale diffusion models for images, videos, or 3D
  • Preferred: knowledge of distillation, quantization, and model compression techniques
  • Preferred: knowledge of GPU, CPU, or NPU optimization techniques
  • Preferred: experience building and optimizing ML inference pipelines
Core Competencies

Demonstrates expertise in machine learning, particularly in generative modeling and deep learning, with a strong foundation in mathematics and algorithms. Proven ability to collaborate across teams and deliver innovative augmented reality experiences.

Highest-signal resume keywords
  • Machine Learning Expertise
  • Generative Modeling
  • Deep Learning
  • TensorFlow
  • Computer Vision
ATS Optimization Keywords Hard Skills
  • Machine Learning Algorithms
  • Neural Networks
  • Generative Modeling Techniques
  • Mathematics
  • Large-Scale Diffusion Models
  • Model Compression Techniques
  • ML Inference Pipelines
  • GPU Optimization
  • CPU Optimization
  • NPU Optimization
Soft Skills
  • Problem Solving
  • Collaboration
  • Independence
Industry Keywords
  • Augmented Reality
  • Generative Models
  • Cross-Functional Collaboration
  • Research in Machine Learning
Tools & Technologies
  • TensorFlow
  • PyTorch
  • JAX
  • MLX
  • Scikit-learn
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