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Pytorch Developer Jobs in Pennsylvania (NOW HIRING)

Siri InfoSolutions Inc

MLOPS Engineer

Malvern, PA · On-site

$50 - $60/hr

... MLOps, DevOps, or similar disciplines. * Knowledge in the life cycle management of Machine Learning models. * Proficiency with Machine Learning frameworks like TensorFlow, PyTorch, or Scikit-learn.

Gehc

AI Engineer

North East, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Optimize foundation models through prompt engineering, fine-tuning, distillation, quantization, and ... Experience with modern AI frameworks such as PyTorch, Hugging Face, DeepSpeed, Megatron, or PyTorch ...

Apple, Inc.

Machine Learning Engineer

Pittsburgh, PA · On-site

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Experience in building model training/eval pipelines in Python/PyTorch. Experience in prototyping ...

Apple

Machine Learning Engineer

Pittsburgh, PA · On-site

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Experience in building model training/eval pipelines in Python/PyTorch. Experience in prototyping ...

Apple

Machine Learning Engineer

Pittsburgh, PA

Preferred Qualifications Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorFlow. Experience in on-device ML model deployment and on-device ...

Motional

Machine Learning Systems Engineer

Pittsburgh, PA · On-site +1

$144K - $192K/yr

Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading ... Data Pipeline Engineering : Optimize robust data loading pipelines that maximize training ...

Venerable

$90 - $150/hr

  • PTO

Collaborate with data scientists, software engineers, and business stakeholders to understand ... Basic proficiency in Python and machine learning libraries (TensorFlow, PyTorch, scikit-learn)

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Pytorch Developer information

What is a PyTorch developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are some common challenges PyTorch developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What are the key skills and qualifications needed to thrive as a PyTorch developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are popular job titles related to Pytorch Developer jobs in Pennsylvania?

For Pytorch Developer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Pytorch Developer jobs in Pennsylvania look for?

The top searched job categories for Pytorch Developer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Pytorch Developer jobs?

Cities in Pennsylvania with the most Pytorch Developer job openings:

Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 77% Full Time, 10% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

AI ML Python Developer PA ONSITE

Kovan Technology Solutions

Middletown, PA • On-site

$48.50 - $66.75/hr

Contractor

Re-posted 9 days ago

Job description

Job Title: AI ML Python Developer 
Location: Middletown, Pennsylvania 17057 (Onsite 1 week per month)

Key Responsibilities:

  • Develop and deploy machine learning models focused on image processing, computer vision, and OCR.
  • Work with libraries such as OpenCV, Pillow, Tesseract, PaddleOCR, EasyOCR, or build custom models.
  • Collaborate with teams to define requirements and deliver robust AI solutions.
  • Optimize vision pipelines for performance and accuracy.
  • Maintain quality through code reviews and best software engineering practices.

Minimum Qualifications:

  • Strong Python programming and software development skills.
  • Experience as Machine Learning Vision Engineer 
  • Proven experience with image processing and computer vision libraries/tools.
  • Hands-on experience with OCR tools like Tesseract, PaddleOCR, or EasyOCR.
  • Familiarity with ML frameworks such as TensorFlow or PyTorch.
  • Experience in scalable software architecture and object-oriented programming.