Familiarity with machine learning and deep learning frameworks (such as PyTorch or TensorFlow ... Learning Objectives & Benefits By the end of this internship, the student will have: Gained direct ...
Familiarity with machine learning and deep learning frameworks (such as PyTorch or TensorFlow ... Learning Objectives & Benefits By the end of this internship, the student will have: Gained direct ...
Sr. Software Engineer
Cincinnati, OH · On-site +1
$155K - $165K/yr
... PyTorch, and Scikit-learn OAuth2, OpenID Connect, SAML protocols and encryption technologies ... Internship List. Read More What We Offer We know you bring your whole self to work every day, and ...
Sr. Software Engineer
Cincinnati, OH · On-site +1
$155K - $165K/yr
... PyTorch, and Scikit-learn OAuth2, OpenID Connect, SAML protocols and encryption technologies ... Internship List. Read More What We Offer We know you bring your whole self to work every day, and ...
Pytorch Internship information
What types of projects and collaborative experiences can I expect during a PyTorch internship?
During a PyTorch Internship, you can expect to work on hands-on machine learning and deep learning projects that involve developing, testing, and optimizing models using the PyTorch framework. Interns often collaborate closely with research scientists, software engineers, and product teams to contribute to real-world applications and open-source initiatives. You may participate in code reviews, brainstorming sessions, and weekly progress meetings, gaining exposure to both independent tasks and team-based problem-solving. This environment fosters both technical growth and communication skills, preparing you for advanced roles in AI and machine learning.
What are the key skills and qualifications needed to thrive as a PyTorch intern, and why are they important?
To thrive as a PyTorch Intern, you need a solid background in Python programming, machine learning fundamentals, and familiarity with deep learning concepts, typically evidenced by coursework or project experience. Proficiency in PyTorch, version control systems like Git, and tools such as Jupyter Notebooks is highly valued. Strong problem-solving skills, attention to detail, and effective communication help interns contribute meaningfully to team projects and learn quickly. These skills and qualities are crucial for efficiently developing, testing, and deploying machine learning models in a collaborative environment.
What is the difference between Pytorch Internship vs Machine Learning Intern?
| Aspect | Pytorch Internship | Machine Learning Intern |
|---|---|---|
| Required Skills | Proficiency in Pytorch, Python, deep learning concepts | Python, machine learning algorithms, data analysis |
| Work Environment | Research labs, tech companies, AI startups | Tech firms, research institutions, data-driven companies |
| Industry Usage | Deep learning projects, neural network development | Broader ML applications, data modeling |
Both roles involve working with machine learning, but a Pytorch Internship specifically focuses on deep learning frameworks like Pytorch, while a Machine Learning Intern may work across various ML techniques. The Pytorch Internship is ideal for those specializing in neural networks and deep learning, whereas the Machine Learning Intern role covers a wider range of ML applications.
What is a PyTorch internship?
A PyTorch internship is a temporary position, often for students or recent graduates, where individuals gain hands-on experience working with the PyTorch deep learning framework. Interns typically assist with machine learning projects, develop and test models, and contribute to research or product development involving artificial intelligence. These internships provide valuable exposure to real-world applications of AI, opportunities to collaborate with experienced engineers and researchers, and a chance to enhance programming and problem-solving skills. Many internships also offer mentorship and may lead to full-time roles in the field.
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Job description
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Responsibilities will be moderate and less routine and will require responsibility and good judgement. May coordinate activities for other student employees. Requires providing excellent customer service, strong organizational skills, and the ability to work in a professional environment. Requires previous experience and knowledge or skill in student assistant role. Represent the department and the university with the highest degree of integrity applying OSU mission and shared values.
Additional Information:Position Summary
The AI4Path Lab is seeking a highly motivated Student Assistant 2 to assist in the development, testing, and validation of artificial intelligence and deep learning models applied to digital pathology and precision oncology.
The student will work closely with the Principal Investigator and lab researchers to analyze whole-slide histopathology images, manage high-performance data pipelines, and conduct literature reviews. This position is ideal for undergraduate or early graduate students looking to gain hands-on experience at the intersection of computer science, data science, and cancer research.
Key Responsibilities
Data Curation & Preprocessing: Assist in pulling, organizing, and preprocessing
large datasets of whole-slide images (WSIs). Implement image tiling, normalization, and quality control pipelines.
AI Model Support: Support the implementation and training of deep learning
architectures (e.g., convolutional neural networks, vision transformers) for tasks
such as cellular segmentation, glandular architecture analysis, and disease
recurrence prediction.
Literature Reviews: Conduct targeted literature reviews on emerging topics in
computational pathology, oncology, and deep learning methods to support ongoing manuscript and grant preparation.
Code Maintenance & Documentation: Document code, maintain shared
repositories (GitHub), and ensure research reproducibility.
Lab Participation: Participate in weekly lab meetings, present project updates, and collaborate with multidisciplinary team members.
Minimum Qualifications
Currently pursuing or recently completed a bachelor's degree in computer science, Biomedical Engineering, Data Science, Bioinformatics, or a closely related
quantitative field.
Basic programming skills in Python.
Familiarity with machine learning and deep learning frameworks (such as PyTorch or TensorFlow).
Excellent communication skills and the ability to work both independently and
collaboratively within a multidisciplinary team.
Desired Qualifications (Nice to Have)
Experience with digital pathology libraries (e.g., OpenSlide, HistomicsTK) or general medical image processing.
Familiarity with high-performance computing (HPC) environments or GPU
acceleration.
A basic understanding of oncology, biology, or clinical data concepts.
Learning Objectives & Benefits
By the end of this internship, the student will have:
Gained direct experience applying state-of-the-art AI methods to real-world, clinical cancer data.
Developed a strong understanding of the digital pathology ecosystem and
institutional research pipelines (including IRB and Honest Broker data workflows).
Had the opportunity to contribute data or writing toward peer-reviewed scientific
abstracts or manuscripts.
Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.
Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions.
The university is an equal opportunity employer, including veterans and disability.
About Ohio State University Research Foundation
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Industry
Scientific research and development services
Company size
51 - 200 Employees
Headquarters location
Columbus, OH, US