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Remote Internship Machine Learning Engineer Jobs in Washington, DC

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Required Skills: * 5+ years of experience in ML Engineering or Applied Machine Learning. * Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch ...

Niyam IT, Inc.

AI Machine Learning Engineer

Ashburn, VA · On-site +1

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... The ideal candidate brings a strong foundation in machine learning, data engineering, and MLOps ...

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All JobsMachine Learning Engineer JobsRemote Internship Machine Learning Engineer JobsRemote Internship Machine Learning Engineer Jobs in Washington, DC

Remote Internship Machine Learning Engineer information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

How much do remote internship machine learning engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for remote internship machine learning engineer 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 is the difference between Remote Internship Machine Learning Engineer vs Remote Data Scientist Intern?

AspectRemote Internship Machine Learning EngineerRemote Data Scientist Intern
Required CredentialsBasic programming, machine learning fundamentals, coursework or certificationsStatistics, data analysis, programming skills, coursework or certifications
Work EnvironmentCollaborative team, remote, project-basedRemote, data analysis projects, team collaboration
Industry UsageTech, AI, software developmentTech, finance, healthcare, research

Both roles are internship positions focused on data and machine learning skills, often requiring similar educational backgrounds. The main difference lies in their focus: Machine Learning Engineers concentrate on developing and deploying ML models, while Data Science Interns focus on analyzing data and deriving insights. Both are common in tech industries and often share similar work environments and prerequisites.

What are popular job titles related to Remote Internship Machine Learning Engineer jobs in Washington, DC? For Remote Internship Machine Learning Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Internship Machine Learning Engineer jobs in Washington, DC look for? The top searched job categories for Remote Internship Machine Learning Engineer jobs in Washington, DC are:
Remote Internship Machine Learning Engineer jobs near you
Infographic showing various Remote Internship Machine Learning Engineer job openings in Washington, DC as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.
Machine learning Engineer & AI Platform Developer - 10+years of experirnce

Machine learning Engineer & AI Platform Developer - 10+years of experirnce

Two95 International Inc.

Herndon, VA • Remote

Contractor

Posted 19 days ago

Job description

Job Title: Machine Learning Engineer & AI Platform Developer - 10+years experience

Location: Remote

Type: Full-Time

Job Description:

We are looking for a talented Machine Learning Engineer & AI Platform Developer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning models and AI applications. You will work closely with data scientists, software engineers, and other stakeholders to implement AI solutions that meet business needs.

Key Responsibilities:

  • Design and develop machine learning models and AI platforms to solve complex problems.
  • Work with large datasets to preprocess, analyze, and derive insights using machine learning techniques.
  • Implement and deploy scalable machine learning solutions using cloud platforms (e.g., AWS, GCP, Azure).
  • Collaborate with cross-functional teams to integrate machine learning models into existing applications.
  • Optimize and monitor model performance, making improvements as necessary.
  • Stay current with emerging AI technologies and best practices to drive continuous improvement.
  • Document processes, code, and model performance for future reference.
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About TWO95 International

Sourced by ZipRecruiter

At TWO95 International, we believe it is imperative that a hiring company is assured of procuring the right candidate to fill a job requirement. We have an extensive local and International network, and a fully digitalized sourcing approach that allows us to find a candidate best suited for the job. Furthermore, we strive to secure well matched opportunities that align with the personal and career aspirations of our candidates.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Cherry Hill, NJ, US

Year founded

2009

Social media

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