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Internship Medical Imaging Machine Learning Jobs in Virginia

Machine Learning Engineer

Reston, VA · On-site

$110 - $170/hr

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

New

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Your responsibility will be to develop our pipeline for generic statistics and machine learning ... Competitive medical benefits * Flexible schedule * Regular team lunches * Latest Macbook Pro, any ...

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

Medical, Dental & Vision, plus Wellness programs * Paid Time Off : Flexible PTO * Professional ... As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Lead Machine Learning Engineer

Mclean, VA · On-site

$197.30 - $225.10/hr

## Lead Machine Learning EngineerApplylocations: McLean, VAtime type: Full timeposted on: Posted ... Internship experience does not apply)* At least 4 years of experience programming with Python ...

New

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

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Internship Medical Imaging Machine Learning information

What are the key skills and qualifications needed to thrive as an intern in medical imaging machine learning?

To thrive in a Medical Imaging Machine Learning internship, you need a solid background in computer science, mathematics, and biomedical engineering, typically supported by coursework or experience in machine learning and image processing. Familiarity with Python, TensorFlow or PyTorch, and medical imaging tools such as DICOM viewers is commonly required. Strong analytical thinking, problem-solving abilities, and effective teamwork set candidates apart in this field. These skills and qualities enable interns to contribute meaningfully to research and development projects, ensuring accurate analysis and innovation in medical imaging solutions.

What is an internship in medical imaging machine learning?

An Internship in Medical Imaging Machine Learning is a temporary position, typically held by students or recent graduates, where individuals gain practical experience applying machine learning techniques to medical imaging data. Interns work alongside professionals to develop, train, and evaluate algorithms that help interpret medical images such as X-rays, MRIs, or CT scans. These roles often involve data preprocessing, model development, and performance analysis, providing valuable hands-on experience in both healthcare and artificial intelligence. This internship is ideal for those interested in combining expertise in computer science, machine learning, and medical diagnostics.

What types of projects can I expect to work on during an internship in medical imaging machine learning?

As an intern in medical imaging machine learning, you'll typically contribute to projects involving the development and validation of algorithms for tasks such as image segmentation, classification, or anomaly detection using clinical imaging data. Daily responsibilities often include data preprocessing, model training and evaluation, and collaborating with research scientists and clinicians to interpret results. You'll also have opportunities to participate in team meetings, present findings, and receive mentorship, which can help you build both technical and domain-specific skills for future roles in healthcare AI.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in Virginia?

The most popular types of Medical Imaging Machine Learning jobs in Virginia are:

What are popular job titles related to Internship Medical Imaging Machine Learning jobs in Virginia?

For Internship Medical Imaging Machine Learning jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Internship Medical Imaging Machine Learning jobs in Virginia look for?

The top searched job categories for Internship Medical Imaging Machine Learning jobs in Virginia are:

What cities in Virginia are hiring for Internship Medical Imaging Machine Learning jobs?

Cities in Virginia with the most Internship Medical Imaging Machine Learning job openings:

PTOC AI/Machine Learning Internship -DC Metro Area

General Dynamics Information Technology

Falls Church, VA • Hybrid

$22.95 - $31.05/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

86th of 223 rated it services


Job description

Share
REQ#: RQ225912Public Trust: None Requisition Type: Regular Your Impact

Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.

Job Description

PTOC Artificial Intelligence/Machine Learning Associate Part Time On-Call Internship

Sponsorship is not available for this role.

At GDIT, our people are our business. We pride ourselves on the work our innovators do to support and secure some of the most complex government, defense, and intelligence projects across the world. We wouldnt be successful without our ability to attract new talent to join our team.

What sets a GDIT internship experience apart from other organizations in the industry?

Work side-by-side with GDIT professionals delivering work for clients.

  • Collaborate with a team of peers to research and propose solutions to a current business challenge.
  • Participate in a mentoring circle led by an early career champion.
  • Interact with GDIT leaders.
  • Participate in professional development.

How Youll Make this Internship Opportunity Your Own

Our Artificial Intelligence/ Machine Learningsummer interns will work on a range of projects that ideally align with their interests. Some interns will use statistical techniques to provide insights into internal or external customer data to guide decision-making and enhance user experience. Other interns will build machine learning algorithms or work on artificial intelligence system deployments. The ideal intern will have knowledge of computer languages and their applications to enable a system to perform specific functions.

The Must-Haves

  • Currently enrolled in an associate's, bachelor's or master's degree program in computer science, IT, engineering, or other STEM field from a United States-based college or university.
  • Basic understanding of Microsoft Office products (e.g., Word, PowerPoint, SharePoint, Excel, and Teams)

What Youll Need to Deliver Your Best Every Day

  • Problem solving and interest in big data.
  • Interest in data transformation, model selection, cross-validation, and deployment
  • Interest or experience with big data platform tools
  • Knowledge of statistical techniques
  • Knowledge of Python or other programming languages
  • Experience working in a collaborative team environment.
  • Intuitiveness with an ability to identify and solve complex problems related to rapidly changing technology.
  • Ability to effectively articulate technical challenges and solutions.

Applicants should have a minimum of one semester remaining in their studies after their internship concludes. Take the first step and apply today!

Note: We receive a high volume of applications and review them on a rolling basis. We encourage you to apply as soon as possible. Our goal is to follow up with you within two weeks of your application.


#GDITInternship

Work Requirements
Years of Experience

0 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification
Travel Required

None

Salary and Benefit Information

The likely hourly rate for this position is between $22.95 - $31.05. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans


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Benefits

Hours and flexibility

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US