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Applied Machine Learning Intern Jobs in Washington

We are seeking an early-career Machine Learning Engineer who is excited to grow rapidly by building ... This role offers hands-on exposure to applied ML, working with IoT datasets, user needs, and ...

Machine Learning Engineer - Autonomy Lab

Arlington, VA · On-site

$117K - $155K/yr

What We Do At the SEI AI Division, we conduct research in applied artificial intelligence and the ... As our government customers adopt AI and machine learning (ML) toprovideleap-ahead mission ...

AI Machine Learning Skill

Hanover, MD · On-site +1

$78K - $250K/yr

Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial ...

Master's degree in Applied Mathematics, Statistics, Computer Science, or related fields. * Verifiable work experience defining and implementing data pipelines and machine learning algorithms.

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 ...

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 ...

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Applied Machine Learning Intern information

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

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

What are popular job titles related to Applied Machine Learning Intern jobs in Washington? For Applied Machine Learning Intern jobs in Washington, the most frequently searched job titles are:
Infographic showing various Applied Machine Learning Intern job openings in Washington as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Part Time. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.
Machine Learning Engineer (Annapolis Junction, MD)

Machine Learning Engineer (Annapolis Junction, MD)

Shield Consulting Solutions

Annapolis, MD

Other

Medical, Retirement, PTO

Posted 15 days ago


Job description

**Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance.
Telework: None
Basic Requirements:

  • Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
  • A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
  • 5 years' experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
    • 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.

Job Description:
  • Select appropriate data sets
  • Perform statistical analysis
  • Run machine learning algorithms
  • Use results to improve models
  • Train and retrain systems when needed
  • Experience in working with various ML libraries and packages
  • Run standard test and evaluation protocols
  • Provide system integration oversight
  • Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
  • Research and implement a broad range of AI and ML algorithms and tools
  • Design or Select appropriate data and knowledge representation methods
  • Recognize software architecture, data modelling, and data structures
  • Transform and convert data science prototypes into scalable solutions
  • Verify data and model output quality
  • Identify differences in data distribution that affect model performance

Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents - available day 1, 8% 401(k) employer match - immediate vesting.
Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure.
Shield Consulting Solutions is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
This is a full time position