1

Pytorch Developer Jobs in South Carolina (NOW HIRING)

Collaborate with engineering, product, and data science teams to understand requirements ... Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems ...

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

Showing results 21-36

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 South Carolina are hiring for Pytorch Developer jobs?

Cities in South Carolina with the most Pytorch Developer job openings:

Infographic showing various Pytorch Developer job openings in South Carolina as of August 2026, with employment types broken down into 80% Full Time, 6% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Assistant Professor/Research Scientist Computer Science/Cybersecurity (with AI/ML/Data Science Fo...

South Carolina State University

Orangeburg, SC • On-site

Full-time

Re-posted 9 days ago


Job description

Assistant Professor/Research Scientist Computer Science/Cybersecurity (with AI/ML/Data Science Focus)

Apply now Job no: 492761
Work type: Full-Time
Location: Administration - Orangeburg, SC
Categories: Faculty

Are you a passionate and innovative researcher with a deep understanding of artificial intelligence, machine learning, and data science? South Carolina State University is seeking a talented Assistant Professor/Research Scientist in Computer Science/Cybersecurity ( with AI/ML/Data Science Focus) to join our prestigious College of Science, Mathematics, and Engineering Technology team.
In this exciting role, you will have the opportunity to collaborate with a multidisciplinary team of researchers, engineers, and scientists to drive cutting-edge research projects. You will be responsible for developing and implementing advanced algorithms, models, and techniques to analyze complex data sets and uncover valuable insights.
Key Responsibilities:
1. Design and develop state-of-the-art AI/ML models and algorithms to tackle challenging research problems across various domains, including but not limited to computer vision, natural language processing, and predictive analytics.
2. Collaborate with cross-functional teams to identify research opportunities, define project goals, and implement innovative solutions.
3. Conduct in-depth data analysis, feature engineering, and model optimization to ensure accurate and reliable results.
4. Stay up to date with the latest advancements in AI/ML and data science and actively contribute to the field through research publications and conference presentations.
5. Mentor and guide graduate and undergraduate students in research projects, fostering a culture of excellence and innovation.
Qualifications:
- Ph.D. in Computer Science, Engineering, Statistics, or a related field with a strong focus on AI/ML and data science.
- Proven track record of conducting cutting-edge research, with publications in top-tier journals or conferences.
- Extensive experience in programming languages such as Python, R, and/or C++, and proficiency in using machine learning frameworks (e.g., TensorFlow, PyTorch).
- Strong analytical and problem-solving skills, with the ability to think critically and creatively.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Join our dynamic and innovative research team at South Carolina State University and contribute to groundbreaking discoveries that shape the future of AI/ML and data science. We offer a competitive compensation package, outstanding research facilities, and a supportive and diverse academic community.
South Carolina State University is an Equal Opportunity Employer
 

Advertised: 16 Jul 2025 Eastern Daylight Time
Applications close:

Back to search results Apply now Refer a friend

Whatsapp Facebook LinkedIn Email App