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Pytorch Developer Jobs in Raleigh, NC (NOW HIRING)

CoVar

Machine Learning Engineer

Durham, NC

PYTORCH or TensorFlow; CI/CD pipelines and regression testing. * AI/ML expertise: Machine learning ... S. or Ph.D in engineering, math, computer science, or related field * Excellent technical ...

flyExclusive

AI Software Developer

Raleigh, NC · On-site

... PyTorch, or similar) and taking models from prototype to production. • Solid experience with REST APIs, backend services, and cloud platforms -- Azure preferred (AWS or Google Cloud acceptable ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

PYTORCH or TensorFlow; CI/CD pipelines and regression testing • AI/ML expertise: Machine learning ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

Redhat

Senior Software Engineer, AI Inference

Raleigh, NC · On-site +1

$133K - $220K/yr

As leading developers and maintainers of the vLLM project, and inventors of state-of-the-art ... Contributions to upstream open-source projects, particularly vLLM, PyTorch, or other AI/ML ...

CoVar

Software Engineer

Durham, NC · On-site

... PyTorch, etc. • Experience developing real-time, computationally-focused applications • Working knowledge of SQL and experience with one or more of MySQL, PostgreSQL, or SQLite • Strong ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

... Experience with either PyTorch or TensorFlow • Deep understanding of machine learning ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

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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 Raleigh, NC? For Pytorch Developer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Raleigh, NC look for? The top searched job categories for Pytorch Developer jobs in Raleigh, NC are:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Raleigh, NC as of June 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Machine Learning Engineer

CoVar

Durham, NC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Machine Learning Engineer

About CoVar

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.

About this position

You will help CoVar develop software and machine learning algorithms to solve real-world customer problems. You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.

Qualifications

Applicants should have expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques. Previous experience with DoD customers is a plus.

Minimum qualifications

  • Software expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.
  • AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
  • B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field
  • Excellent technical communication skills
  • Ability to work in Durham, NC (relocation assistance available)
  • Eligibility for US security clearance (US citizenship is required)

Bonus skills

  • Department of Defense project experience
  • Active US security clearance (secret or higher)

Benefits

  • Competitive salary, cash bonus, equity structure, and 401k with employer contributions
  • Excellent health care coverage, including dental and vision plans
  • Parental leave
  • Short-term and long-term disability insurance
  • Life insurance
  • Flexible work schedule
  • Tuition support
  • PTO and paid holidays

Visit us: www.covar.com