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Deep Learning Research Intern Jobs in Virginia (NOW HIRING)

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience curating quality, real-world datasets for training deep learning models * Proficiency in C++ $110,000 - $160,000 a year Company Description: Kitware is a research and development software ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Experience curating quality, real-world datasets for training deep learning models * Proficiency in C++ Company Description: Kitware is a research and development software solutions provider with a ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience curating quality, real-world datasets for training deep learning models * Proficiency in C++ $110,000 - $160,000 a year Company Description: Kitware is a research and development software ...

Palnar

Machine Learning with Python Development

Richmond, VA · On-site

$49.75 - $68.75/hr

... experience with Deep Learning methods is preferable Education: Requires bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics ...

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Deep Learning Research Intern information

What are the key skills and qualifications needed to thrive as a deep learning research intern?

To thrive as a Deep Learning Research Intern, you need a strong grasp of machine learning fundamentals, programming skills (especially in Python), and a background in mathematics or computer science, often supported by relevant coursework or research experience. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and proficiency in using data processing and visualization tools are typically expected. Creativity, problem-solving abilities, and effective communication help interns contribute novel ideas and collaborate within research teams. These skills are vital for developing, testing, and presenting cutting-edge AI models and solutions in a fast-evolving field.

What does a deep learning research intern do?

A Deep Learning Research Intern assists in the development and experimentation of machine learning models, particularly neural networks, to solve complex problems in fields like computer vision, natural language processing, or robotics. They typically work under the guidance of experienced researchers, contributing to tasks such as data preprocessing, model training, and result analysis. Interns may also help implement and optimize algorithms, read and summarize research papers, and prepare reports or presentations on their findings. This role provides hands-on experience with state-of-the-art AI technologies and research methodologies.

What are some common challenges faced by deep learning research interns, and how can they overcome them?

Deep Learning Research Interns often encounter challenges such as managing complex datasets, tuning neural network architectures, and keeping up with the latest research developments. It's common to spend significant time troubleshooting code or optimizing models for better performance. Collaborating closely with mentors and team members, actively participating in research discussions, and consistently reading recent papers can help interns overcome these hurdles. Utilizing open-source tools and frameworks, along with clear documentation practices, also streamlines the research process.
What cities in Virginia are hiring for Deep Learning Research Intern jobs? Cities in Virginia with the most Deep Learning Research Intern job openings:
Deep Learning Research Intern jobs near you

Research Scientist

University of Virginia

Charlottesville, VA • On-site

Full-time

Re-posted 19 days ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

208th of 618 rated colleges and universities

Job description

Department Overview
The University of Virginia's Research Computing (RC) team, part of UVA Information Technology Services (ITS), supports cutting-edge research across the institution by providing advanced computational resources and expertise. Within RC, the Data Analytics Center (DAC) enables interdisciplinary collaboration by helping researchers apply modern data science and AI techniques to complex problems.
UVA ITS does more than support the UVA community - we empower and move it forward. With every partnership and every solution, we are shaping a culture and ecosystem where learning and discovery thrive.
Position Summary
The University of Virginia is seeking a Research Scientist with expertise in Large Language Models (LLMs) to join the Data Analytics Center (DAC) within Research Computing. This role will partner directly with researchers across disciplines to apply LLMs and AI techniques to diverse datasets, enabling innovative research outcomes.
As a key member of the Research Computing team, you will contribute technical expertise in deep learning and LLMs, support high-impact research initiatives, and help advance UVA's leadership in data-driven discovery.
Responsibilities
  • Collaborate with researchers to understand datasets and analytical requirements
  • Perform data preprocessing and analysis to identify appropriate deep learning and LLM approaches
  • Select, fine-tune, and apply LLMs and AI models to complex research problems
  • Optimize LLM performance on HPC systems, including parallel implementations
  • Manage AI-based research projects to ensure timely delivery and scientific rigor
  • Prepare technical reports, presentations, and research outputs
  • Develop and deliver training sessions and workshops on LLMs for the UVA community
  • Partner with the DAC team to share programming techniques and best practices
Minimum Qualifications
Education:
Advanced degree (Master's or higher)
Experience:
At least 2 years of relevant work experience
Skills:
  • Proficiency in Python programming
  • Demonstrated expertise in AI systems and machine learning algorithms
  • Strong analytical and problem-solving abilities
  • Excellent written and verbal communication skills
  • Ability to collaborate with researchers across diverse disciplines
  • Strong relationship-building skills with technical and non-technical stakeholders

Additional Requirement:
  • U.S. citizenship or permanent residency required due to access to high-security data environments
Preferred Qualifications
Education:
  • PhD in Computer Science, Electrical Engineering, Data Science, or related field

Experience:
  • 3+ years of academic or applied research experience

Technical Skills:
  • Deep understanding of transformer architectures (attention, tokenization, embeddings, positional encoding, scaling)
  • Experience with fine-tuning techniques (supervised fine-tuning, instruction tuning, RLHF, domain adaptation)
  • Proficiency with AI frameworks such as PyTorch, TensorFlow, and Hugging Face
  • Experience with LLM evaluation and benchmarking methodologies
  • Familiarity with generative or probabilistic modeling

Additional Knowledge:
  • Understanding of LLM risks such as hallucinations and bias, and responsible AI practices
Physical Demands
This is primarily a sedentary role. The position may require the ability to sit for extended periods and use a computer for prolonged durations.
Position Type & Work Location
  • Full-time
  • Located in Charlottesville, VA
  • Flexible work arrangements may be available

This position has committed funding through June 2028; continuation is dependent on the availability of funding.
About UVA and the Community
The University of Virginia is a highly regarded public institution known for its commitment to academic excellence, innovation, and service. Located in Charlottesville, UVA offers a vibrant community with a high quality of life, combining rich history with a dynamic and forward-looking environment.
UVA fosters a collaborative culture that values diversity, equity, and inclusion, and is dedicated to supporting employees' professional growth and work-life balance.
Application Timeline
Review of applications will begin after the position has been posted for a minimum of five days.
Additional Requirements
  • Background check required
  • This position will not sponsor applicants requiring a visa

How to Apply
Please apply online through Online and search for R0081788 . Complete the application and upload the following required materials:
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
  • Cover letter
  • Resume
Reference Check Process
Reference checks will be conducted via UVA's standard SkillSurvey process, requiring a minimum of three completed references.
Contact
For questions about this position, please contact:
Bill Crane
Senior Talent Acquisition Recruiter
University of Virginia
Xer5ff@virginia.edu
MINIMUM REQUIREMENTS:
Education: Bachelor's Degree required.
Experience: 3+ years relevant experience required.
Licensure: None.
PHYSICAL DEMANDS:
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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