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Pytorch Developer Jobs in Pennsylvania (NOW HIRING)

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging ...

AI or ML Engineer

Saxonburg, PA · On-site

$110 - $170/hr

Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn * Proficiency in Python and/or other relevant programming languages * Experience with NLP, computer ...

They are seeking a proficient Embedded Security Engineer to protect models deployed on robotic ... g., PyTorch, etc.). • Experience with enterprise security. • Proven experience in threat ...

Senior Software Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... PyTorch, TensorFlow, SciKit, etc. • Basic understanding of Retrieval-Augmented Generation (RAG ... innovation in the engineering design of silicon to systems. Founded in 1988, the company is ...

Senior AI/ML Engineer

Malvern, PA · On-site

$102K - $140K/yr

Solid Python programming skills and familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn). * Knowledge of LLMs and agentic principles. * Vanguard Internal Use Only Experience with vector ...

Senior AI/ML Engineer

Philadelphia, PA · On-site

$105K - $144K/yr

Solid Python programming skills and familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn). * Knowledge of LLMs and agentic principles. * Vanguard Internal Use Only Experience with vector ...

Senior AI/ML Engineer

Malvern, PA · On-site

$102K - $140K/yr

Solid Python programming skills and familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn). * Knowledge of LLMs and agentic principles. * Vanguard Internal Use Only • Experience with ...

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Engineer scalable training, inference, and retraining workflows using AWS SageMaker. * Develop and ... Expertise in Python and modern data science libraries (Pandas, NumPy, Scikit-Learn,PyTorch ...

Showing results 41-60

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 cities in Pennsylvania are hiring for Pytorch Developer jobs?

Cities in Pennsylvania with the most Pytorch Developer job openings:

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.

Prompt Engineers

Forhyre

Philadelphia, PA • On-site

Full-time

Re-posted 2 days ago


Job description

We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI.

Role Overview:

As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems.

Responsibilities:

  • Collaborate with AI researchers and developers to understand project requirements and objectives.
  • Design and create a diverse range of prompts tailored to specific AI tasks and applications.
  • Develop creative and innovative ways to generate effective prompts that improve model performance.
  • Conduct extensive research to identify and curate relevant data sources for prompt development.
  • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes.
  • Optimize and fine-tune prompts based on continuous testing and feedback from AI models.
  • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy.
  • Stay up-to-date with the latest advancements in natural language processing and AI technologies.
  • Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
  • Proven experience in working with natural language processing and AI technologies.
  • Strong understanding of AI models, algorithms, and neural networks.
  • Experience in prompt engineering, creative writing, or content creation is a plus.
  • Proficiency in programming languages such as Python or JavaScript.
  • Solid knowledge of data collection, preprocessing, and annotation for prompt development.
  • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face.
  • Strong analytical and problem-solving skills with a keen eye for detail.
  • Excellent communication and collaboration skills to work effectively in a team environment.
  • Passion for innovation and a keen interest in staying updated with the latest AI trends.

Join us in shaping the future of AI as a Prompt Engineer and be part of a dynamic team that is pushing the boundaries of what AI can achieve.