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Applied Machine Learning Intern Jobs in Halethorpe, MD

SageCor Solutions

AI/ML 2 (FST - 118)

Annapolis, MD · On-site

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 ...

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All JobsApplied Machine Learning Intern JobsApplied Machine Learning Intern Jobs in Halethorpe, MD

Applied Machine Learning Intern information

See Halethorpe, MD salary details

$24.9K

$41.6K

$86K

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

As of Aug 31, 2026, the average yearly pay for applied machine learning intern in Halethorpe, MD is $41,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 per year, depending on experience, location, and employer.

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 Halethorpe, MD?

For Applied Machine Learning Intern jobs in Halethorpe, MD, the most frequently searched job titles are:

What job categories do people searching Applied Machine Learning Intern jobs in Halethorpe, MD look for?

The top searched job categories for Applied Machine Learning Intern jobs in Halethorpe, MD are:

What cities near Halethorpe, MD are hiring for Applied Machine Learning Intern jobs?

Cities near Halethorpe, MD with the most Applied Machine Learning Intern job openings:

Applied Machine Learning Intern jobs near you
Infographic showing various Applied Machine Learning Intern job openings in Halethorpe, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,591 per year, or $20 per hour.

Artificial Intelligence/Machine Learning (AI/ML) Engineer

Base-2 Solutions, LLC

Annapolis, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

  • Requisition ID: 3977
  • Standard Title:
  • Required Security Clearance: Top Secret/SCI with Full Scope Polygraph
  • Location: Annapolis Junction, MD
  • Work Type: On-Site
  • Shift: First
  • Referral Eligibility: Eligible
  • U.S. Citizenship Required? Yes

Position Summary
Base-2 Solutions is seeking an AI/ML Engineer who designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills.
Essential Duties and Responsibilities
  • Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
  • 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.
Required Qualifications
  • 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 intelligence, data science, computer science or deep learning from an accredited college or university.
  • Five (5) additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
Preferred Qualifications
  • Expert knowledge with multiple programming languages, including: Python Java R.
Required Education and Experience Equivalency
  • Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university with Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity.
  • Relevant Bachelor's degree with Ten (10) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity.
Required Certifications
  • None specified.
Required Security Clearance
  • Active Top Secret/SCI with Full Scope Polygraph

Pay & Benefit Highlights
Compensation
  • Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
  • Employee referral bonuses up to $10,000 per hired referral.
  • Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
Health
  • 100% company-paid medical premiums for employees and eligible dependents.
  • Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
  • 100% company-paid dental premiums for employees and eligible dependents.
  • 100% company-paid vision premiums for employees and eligible dependents.
Income Protection
  • 100% company-paid premiums for short-term disability.
  • 100% company-paid premiums for long-term disability.
  • 100% company-paid premiums for accidental death & dismemberment (AD&D).
  • 100% company-paid premiums for life insurance up to $200,000.
Retirement
  • 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
  • 401(k) pre-tax and Roth options.
Leave
  • Up to 20 days of flexible paid time off (PTO).
  • 11 paid floating holidays.
Work-Life Balance
  • Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

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