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Internship Machine Learning Neuroscience Jobs in Washington

Capital One

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 ...

Capital One

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 ...

Capital One

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 ...

Capital One

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 ...

Capital One

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 ...

Capital One

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 ...

Capital One

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 ...

Capital One

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 ...

Capital One

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 ...

Capital One

Lead Machine Learning Engineer (IC)

Mclean, VA · On-site +1

$103K - $136K/yr

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

Capital One

Lead Machine Learning Engineer (IC)

Mclean, VA · On-site +1

$103K - $136K/yr

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

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Internship Machine Learning Neuroscience information

What are the key skills and qualifications needed to thrive as an internship machine learning neuroscience, and why are they important?

To thrive in an Internship Machine Learning Neuroscience role, you generally need a background in neuroscience, computer science, or a related field, along with a solid understanding of machine learning concepts. Experience with programming languages such as Python, libraries like TensorFlow or PyTorch, and familiarity with neuroimaging software are commonly required. Strong analytical thinking, problem-solving skills, and effective communication help you work collaboratively and adapt to complex research environments. These skills are essential for contributing meaningfully to interdisciplinary projects at the intersection of neuroscience and artificial intelligence.

What is the difference between Internship Machine Learning Neuroscience vs Internship Data Science?

AspectInternship Machine Learning NeuroscienceInternship Data Science
Required CredentialsBackground in neuroscience, machine learning, programmingBackground in statistics, programming, data analysis
Work EnvironmentResearch labs, healthcare, academia, tech companiesBusiness, tech firms, research institutions
Industry UsageNeuroscience research, AI development, healthcare techBusiness analytics, product development, consulting

Internship Machine Learning Neuroscience focuses on applying machine learning techniques to neuroscience data, often within research or healthcare settings. In contrast, Internship Data Science covers a broader range of data analysis across industries. Both roles require programming skills, but the focus and industry applications differ significantly.

What is an internship in machine learning neuroscience?

An Internship in Machine Learning Neuroscience is a temporary position, often for students or recent graduates, that involves applying machine learning techniques to neuroscience research. Interns may work on projects such as analyzing brain imaging data, modeling neural networks, or developing algorithms to understand brain function. These internships provide hands-on experience in both computational methods and neuroscience concepts, helping interns build valuable skills for future academic or industry roles. Opportunities can be found in universities, research institutes, or technology companies with neuroscience divisions.

What types of projects do interns typically work on in a machine learning neuroscience internship?

Interns in Machine Learning Neuroscience often engage in projects that combine data analysis, algorithm development, and neuroscience research. This can include tasks such as preprocessing neural data, building and evaluating machine learning models to interpret brain signals, or developing tools for data visualization. Interns frequently collaborate with both data scientists and neuroscientists, gaining hands-on experience with real-world datasets and exposure to interdisciplinary research environments. These projects help interns build practical skills and contribute meaningful insights to ongoing research.
What cities in Washington are hiring for Internship Machine Learning Neuroscience jobs? Cities in Washington with the most Internship Machine Learning Neuroscience job openings:
Internship Machine Learning Neuroscience jobs near you

Summer 2027 AI/Machine Learning Internship -DC Metro Area

General Dynamics Information Technology

Falls Church, VA • Hybrid

$22.95 - $31.05/hr

Full-time

Posted 3 days ago

New

General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

88th of 223 rated it services

Job description

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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

Summer 2027 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?

GDITs Summer Internship Program is designed with you in mind! Our internship provides you the opportunity to be a part of a collaborative team that is helping to solve our clients most challenging matters. Throughout GDITs 10-week Summer Internship Program, you will have the opportunity to do the following:

  • 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.

GDIT interns are paid and full-time (40 hours/week) for 10 consecutive 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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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

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