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Machine Learning Remote Internship Jobs in Ashburn, VA

Planet

Senior Machine Learning Engineer

Arlington, VA · On-site +1

$120K - $165K/yr

As a Senior Machine Learning Engineer, you will drive hands-on engineering and modeling for Defense ... Practical knowledge of remote sensing, satellite imagery, or related geospatial domains * Knowledge ...

Capital One

Sr. Lead Machine Learning Engineer (IC)

Mclean, VA · On-site +1

$103K - $136K/yr

Sr. 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

Sr. Lead Machine Learning Engineer (IC)

Mclean, VA · On-site +1

$103K - $136K/yr

Sr. 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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All JobsMachine Learning JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Ashburn, VA

Machine Learning Remote Internship information

See Ashburn, VA salary details

$26.1K

$43.5K

$90K

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

As of Sep 8, 2026, the average yearly pay for machine learning remote internship in Ashburn, VA is $43,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,200.00 and $47,000.00 per year, depending on experience, location, and employer.

What is a machine learning remote internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

What types of projects can I expect to work on during a machine learning remote internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What are the key skills and qualifications needed to thrive as a machine learning remote intern, and why are they important?

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

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

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Ashburn, VA?

For Machine Learning Remote Internship jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Remote Internship jobs in Ashburn, VA look for?

The top searched job categories for Machine Learning Remote Internship jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Machine Learning Remote Internship jobs?

Cities near Ashburn, VA with the most Machine Learning Remote Internship job openings:

Machine Learning Remote Internship jobs near you
Infographic showing various Machine Learning Remote Internship job openings in Ashburn, VA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $43,546 per year, or $20.9 per hour.

Senior Machine Learning Engineer Remote

AHU Technologies Inc

Washington, DC • Remote

$115K - $300K/yr

Full-time

Re-posted yesterday

Job description

Location: United States - remote
Visa: US Citizens or Green Card Holders
Fluency in Chinese/Mandarin is required, so only reach out exclusively to candidates of Chinese ethnic background.
What you will own
  • Build recommendation and search across feed, discovery, search, and content continuation.
  • Own retrieval/ranking: candidate generation, embeddings, two-tower models, features, and serving quality.
  • Design, launch, and analyze recommendation/search experiments.
Requirements
  • 5+ years industry experience building production ML systems with senior ownership.
  • Bachelor's degree from a recognized university in China is required 
  • Hands-on recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
  • Consumer apps, entertainment, social, gaming, creator, or engagement-driven products.
  • Two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.
Hard filters
  • 5+ years industry experience building production ML systems with senior ownership.
  • Hands-on recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
  • Consumer apps, entertainment, social, gaming, creator, or engagement-driven products.
  • Two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.
Strong fit
  • Build recommendation and search across feed, discovery, search, and content continuation.
  • Own retrieval/ranking: candidate generation, embeddings, two-tower models, features, and serving quality.
  • Background in the entertainment or social media industry (e.g., TikTok, Pinterest, Instagram). 
  • Design, launch, and analyze recommendation/search experiments.
Bonus:
  • Bonus signal: 5+ years production ML
  • Bonus signal: recommendation systems
  • Bonus signal: search ranking
  • Bonus signal: embedding retrieval
Anti-signals
  • Cannot show core Senior Machine Learning Engineer, Recommendation experience
  • Not comfortable with the listed work mode
  • Low ownership, coordination-only, or no shipped examples

This is a remote position.