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Pytorch Jobs in Pennsylvania (NOW HIRING)

Enterprise Architect | USA

Philadelphia, PA

$69.75 - $89.75/hr

Solid grasp of AI/ML principles, frameworks (TensorFlow, PyTorch, Hugging Face), and deployment strategies such as MLOps. Strong experience with cloud platforms (AWS, Azure, GCP), containerization ...

Enterprise Architect | USA

Philadelphia, PA · On-site

$69.75 - $89.75/hr

Solid grasp of AI/ML principles, frameworks (TensorFlow, PyTorch, Hugging Face), and deployment strategies such as MLOps. Strong experience with cloud platforms (AWS, Azure, GCP), containerization ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Showing results 21-40

Pytorch information

See Pennsylvania salary details

$72.4K

$129.9K

$186.3K

How much do pytorch jobs pay per year?

As of Aug 17, 2026, the average yearly pay for pytorch in Pennsylvania is $129,853.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,675.00 and $158,808.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What cities in Pennsylvania are hiring for Pytorch jobs?

Cities in Pennsylvania with the most Pytorch job openings:

Infographic showing various Pytorch job openings in Pennsylvania as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $129,853 per year, or $62.4 per hour.

Staff Software Engineer, ML Acceleration

Stack AV

Pittsburgh, PA • On-site, Remote

Full-time

Re-posted 7 days ago


Job description

About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
The ML Training Acceleration team is dedicated to increasing Stack AV's product development velocity by accelerating machine learning iterations. Our core mission is to deliver a training system that is reliable, scalable, user-friendly and observable. This involves profiling, optimizing, and fine-tuning our ML models, as well as evangelizing best practices and frameworks among Machine Learning Engineers (MLEs) across the company.
Responsibilities:
  • Analyze ML models to identify and resolve performance bottlenecks.
  • Incorporate OSS tools to enable ML engineers self-sufficiently profile and optimize models.
  • Deliver solutions to streamline model deployment across various hardware platforms.
  • Collaborate with ML researchers to balance model accuracy and speed.
  • Implement optimizations using CUDA, Triton, and custom kernels.
  • Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team.

Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Experience: 5+ years of experience (including experience with GPU programming and optimization)
  • Technical Skills:
    • Strong programming skills in C++ and Python
    • Proven experience in GPU programming and optimization
    • Familiarity with deep learning frameworks, especially PyTorch
    • CUDA programming
    • Triton language for GPU kernels
    • PyTorch optimization techniques
    • TensorRT implementation
    • ONNX model conversion and deployment
    • Custom GPU kernel development
    • Deep understanding of GPU architectures and performance optimization
  • Problem-Solving: Strong analytical and problem-solving skills
  • Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
  • Autonomous vehicles (AV) experience is a bonus

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Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.