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Applied Machine Learning Intern Jobs in Washington

Reflexive Concepts

AI/ML Engineer III

Annapolis, MD · On-site

Ten (10) 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 ...

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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.

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What job categories do people searching Applied Machine Learning Intern jobs in Washington look for? The top searched job categories for Applied Machine Learning Intern jobs in Washington are:
Applied Machine Learning Intern jobs near you
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.
Artificial Intelligence\/Machine Learning (AI\/MI) Engineer Sk

Artificial Intelligence\/Machine Learning (AI\/MI) Engineer Sk

Navstar

Annapolis Junction, MD

$99K - $136K/yr

Other

Medical, Retirement, PTO

Posted 23 days ago

Job description

Artificial Intelligence/Machine Learning Engineer

Kaizen Approach is currently seeking an Artificial Intelligence/Machine Learning (AI/ML) Engineer to design, create, test, and deploy AI/ML algorithms addressing complex business challenges. In this role, you'll develop AI/ML models that can learn and make predictions according to customer-defined business logic. You'll oversee all aspects of model architecture, data pipeline interaction, and metrics interpretation and presentation. This position involves ensuring optimal model performance through iterative feedback, monitoring, and improvement. You'll also collaborate across diverse, often geographically spread teams, serving as the main POC for AI-related initiatives and guiding scalable, high-performing solutions. Proficiency in programming languages like Python, Java, C, and R is highly advantageous.

Requirements:

  • Must have the ability to select appropriate datasets, perform statistical analysis, and run machine learning algorithms to improve model accuracy and performance.
  • Must be capable of training and retraining systems when necessary, demonstrating experience with various ML libraries and packages.
  • Must possess the ability to run standard test and evaluation protocols and provide system integration oversight.
  • Must be able to oversee the test and evaluation of AI and ML algorithms through an iterative design process to ensure verification and validation requirements are met.
  • Must be experienced in researching and implementing a broad range of AI and ML algorithms and tools, including selecting or designing appropriate data and knowledge representation methods.
  • Must recognize and apply knowledge in software architecture, data modeling, and data structures, and be able to transform data science prototypes into scalable solutions.
  • Must be capable of verifying data and model output quality, identifying differences in data distribution that could affect model performance, with experience in standard machine learning frameworks such as PyTorch and TensorFlow.
  • Must have five years of experience in applied machine learning in programs and contracts of similar scope, type, and complexity, with a Master's or Ph.D. in advanced math, artificial intelligence, data science, computer science, or deep learning from an accredited college or university.
  • Five additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
  • Active TS/SCI clearance with Polygraph is required.

Salary Range: A variety of factors can impact the final salary offered, including, but not limited to, geographic location, Federal Government contract labor categories and wage rates, relevant work experience, specialized skills and competencies, education, and certifications.

About Kaizen Approach At Kaizen Approach, we truly care about our team, offering flexibility for a balanced life, competitive compensation, and a robust benefits package that supports you and your family. We prioritize well-being with premium healthcare, financial and family support, retirement planning, and ongoing learning. With 4 weeks of PTO, 11 holidays, gifted 401k, profit sharing, and paid training, we're committed to your growth and happiness-both at work and beyond! Kaizen Approach is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or any other protected characteristic.

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