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Pytorch Developer Jobs in Pittsburgh, PA (NOW HIRING)

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 · On-site

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 ...

Skild AI

Research Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Position Overview We are hiring Research Engineers to develop scalable robotic systems aimed at ... Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.

Triunity Software, Inc.

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 ...

Skild AI

Embedded Security Engineer

Pittsburgh, PA · On-site

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 ...

Cadence

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 ...

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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 Pittsburgh, PA?

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

What job categories do people searching Pytorch Developer jobs in Pittsburgh, PA look for?

The top searched job categories for Pytorch Developer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Pytorch Developer jobs?

Cities near Pittsburgh, PA with the most Pytorch Developer job openings:

Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Senior Machine Learning Engineer - Mission Innovation Lab

Software Engineering Institute | Carnegie Mellon University

Pittsburgh, PA • On-site

$101K - $139K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Summary:
Carnegie Mellon University's Software Engineering Institute is seeking a Senior Machine Learning Engineer for their Mission Innovation Lab. The role involves leading applied-research projects to develop mission-scale AI capabilities for defense-focused missions, while collaborating with researchers and mentoring junior team members.
Responsibilities:
• Design, implement, and evaluate state‑of‑the‑art ML models (computer‑vision, NLP, planning, etc.) using frameworks such as TensorFlow, PyTorch, Torch, or Caffe.
• Build and maintain robust data pipelines, ETL processes, and backend services in Python, C/C++, and Java.
• Lead rapid‑prototyping efforts, translate research results into operational prototypes, and test for performance, robustness, and security.
• Define and refine DevSecOps practices for ML (model registries, containerized deployment, continuous integration/continuous delivery, security scanning).
• Mentor junior team members, collaborate with researchers, government customers, and other engineers, and contribute to technical strategy for the lab.
Qualifications:
Required:
• B.S. in Computer Science, Electrical Engineering, Statistics, or related field with ≥10 years of experience; OR M.S. with ≥8 years; OR Ph.D. with ≥5 years of relevant experience.
• Ability to obtain and maintain an active Department of War security clearance.
• You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA.
• Strong experience in one or more programming language such as Python, C/C++, and Java; comfortable developing production-grade code and APIs.
• Solid understanding of ML theory, statistical learning, and common algorithms.
• Hands-on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep-learning libraries.
• Familiarity with CI/CD pipelines, container orchestration (Docker/Kubernetes), model versioning, and security-focused tooling.
Preferred:
• Proven track record of independent applied-research projects that resulted in demonstrable prototypes or operational capabilities.
• Publications or open-source contributions in AI and ML, especially in adversarial or robust ML.
• Experience working on defense or other high-impact government programs.
• Ability to quickly learn emerging AI and ML technologies and translate them into mission-relevant solutions.
Company:
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. Founded in 1984, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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