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Pytorch Developer Jobs in Pennsylvania (NOW HIRING)

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 ...

Motional

Machine Learning Systems Engineer

Pittsburgh, PA · On-site

$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 ...

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 ...

Aptino

AI ML Engineer

Malvern, PA · Hybrid

Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn * Hands-on experience with ... Background in software engineering best practices * Master's or PhD in Computer Science, AI, ML, or ...

VDart

AI/ML Lead Engineer

Chester, PA

$98K - $130K/yr

ML Engineer with python and AI Location: Chester , PA -onsite Duration: Contract JD: Role Overview ... PyTorch, TensorFlow). • Develop LLM-powered applications using frameworks such as OpenAI ...

Forhyre

Prompt Engineers

Philadelphia, PA

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 ...

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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 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 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 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 May 2026, with employment types broken down into 88% Full Time, 2% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Senior AI / ML Engineer - Enterprise Data & GenAI Solutions - AIRLHV

NavitasPartners

Erie, PA • On-site, Remote

$101K - $139K/yr

Full-time

Posted 12 days ago

Job description

Senior AI / ML Engineer – Enterprise Data & GenAI Solutions

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are hiring a Senior AI/ML Engineer to lead development of enterprise-grade AI and GenAI solutions. This role bridges data engineering, ML engineering, and cloud architecture to deliver scalable AI systems.

Key Responsibilities:

  • Build and scale ML pipelines and GenAI applications
  • Integrate AI solutions with enterprise data platforms
  • Implement MLOps frameworks for automation and governance
  • Optimize models and pipelines for performance and cost efficiency

Required Skills:

  • Strong experience in ML engineering, MLOps, and AI system design
  • Expertise in Python, PyTorch, and related ML frameworks
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Strong understanding of data pipelines and integration

Nice to Have / Coverage:

  • Experience with data platforms such as Databricks, Snowflake, Azure Synapse, BigQuery
  • Exposure to GenAI tools (LangChain, LLM orchestration frameworks)
  • Knowledge of Responsible AI, governance, and compliance
  • Experience in enterprise-scale AI deployments

For more details reach at resumes@navitassols.com.