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Machine Learning Intern Remote Jobs in Washington, DC

Peraton

Summer 2026 Research Intern

Reston, VA · On-site +1

$25/hr

... remote for qualified candidates . Join our Federal Civilian Sector Chief Technologist Office and ... Familiarity with emerging technology areas such as artificial intelligence, machine learning, cloud ...

Peraton

Summer 2026 Research Intern

Reston, VA · On-site +1

$25/hr

... remote for qualified candidates . Join our Federal Civilian Sector Chief Technologist Office and ... Familiarity with emerging technology areas such as artificial intelligence, machine learning, cloud ...

Peraton

Summer 2026 Research Intern

Reston, VA · On-site +1

$25/hr

... remote for qualified candidates . Join our Federal Civilian Sector Chief Technologist Office and ... Familiarity with emerging technology areas such as artificial intelligence, machine learning, cloud ...

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All JobsMachine Learning Intern Remote JobsMachine Learning Intern Remote Jobs in Washington, DC

Machine Learning Intern Remote information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

How much do machine learning intern remote jobs pay per year?

As of Jun 17, 2026, the average yearly pay for machine learning intern remote in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern (Remote), and why are they important?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
What are the most commonly searched types of Machine Learning Remote jobs in Washington, DC? The most popular types of Machine Learning Remote jobs in Washington, DC are:
What are popular job titles related to Machine Learning Intern Remote jobs in Washington, DC? For Machine Learning Intern Remote jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern Remote jobs in Washington, DC look for? The top searched job categories for Machine Learning Intern Remote jobs in Washington, DC are:
Machine Learning Intern Remote jobs near you

Research and Development Engineer Intern

Penn State University

Reston, VA • On-site, Remote

$15.50 - $20.75/hr

Other

Posted 21 days ago

Penn State University rating

7.9

Company rating: 7.9 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

173rd of 537 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.
Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The Cyber Intelligence, Analytics, and Operations Department of the Applied Research Laboratory (ARL) is seeking interns to assist ARL engineers in the areas of data analysis, machine learning, and signal processing. Interns will have the opportunity to develop cutting-edge AI/ML techniques to solve problems in signal processing and anomaly detection.
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
Typical duties may include:
  • Design and implement custom algorithmic solutions, specializing in machine learning and artificial intelligence, to meet varied sponsor objectives.
  • Support machine learning model development using tools and libraries such as PyTorch, Scikit-learn, Pandas, and similar technologies.
  • Support for data analysis and data display
Students studying Math, Physics, Electrical Engineering, Computer Science, Data Science, or related fields are encouraged to apply.
Preferred Skills:
  • Experience in AI/ML
  • Knowledge of Python, MATLAB, or similar language
  • Knowledge of signal processing a plus
  • Ability to take data in an organized fashion and write a report about their results

The successful candidate will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer.
These positions will be onsite in Reston, VA or State College, PA.
ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).
FOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
All positions at ARL require candidates to possess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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