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Machine Learning Software Engineer Intern Jobs in College Park, MD

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Partner with ML engineers, data engineers, software developers, product managers, data analysts, and clinical and operations team members to deliver machine learning solutions that make an impact ...

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

  • Medical

  • Dental

  • Vision

  • PTO

About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced ... Strong software engineering fundamentals and the ability to work independently on ambiguous ...

Machine Learning Engineer

Reston, VA · On-site

$110 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Showing results 21-40

Machine Learning Software Engineer Intern information

See College Park, MD salary details

$13

$25

$38

How much do machine learning software engineer intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for machine learning software engineer intern in College Park, MD is $25.12, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $28.51 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

Senior Software Engineer - Machine Learning / Data Science

Staffed4U

Laurel, MD • On-site

$220K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

Software Engineer - Level 3 (Machine Learning / Data Science)Location: Laurel, MD (Onsite)
Clearance: Active TS/SCI with Poly required
Citizenship: U.S. Citizenship required
Salary Range: $220,000-240,000
Position Overview

We are seeking a highly experienced Software Engineer 3 (SWE-3) to support mission-critical government programs in Laurel, MD. The ideal candidate will possess extensive experience in software engineering, machine learning, and data analytics within secure government environments. This role requires hands-on development expertise, advanced analytical skills, and the ability to support agency compliance and operational standards.

Minimum Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field plus 20 years of relevant experience
  • Active TS/SCI clearance with Polygraph
  • Ability to work on-site in Laurel, MD five days per week
Required Skills & Experience
  • Experience with Java, Scala, and Python
  • Experience with Lucene, JEXL, SQL, and JSON
  • Experience developing in Linux operating environments
  • Experience with Map/Reduce
  • Experience with GM Learn
  • Experience with Jupyter Notebooks
  • Experience with IntelliJ and/or Eclipse
  • Experience with Git/GitLab and/or Stash/Bitbucket
  • Experience with Jira and Confluence
  • Experience with Scikit-learn
  • Experience building and monitoring Machine Learning models
  • Experience with Random Forest algorithms and feature development
  • Understanding of Agency compliance standards, policies, and authorities
  • Experience working with Agency corporate systems
  • Experience creating, reviewing, and maintaining technical documentation
Desired Skills & Experience
  • Data Science background and analytical expertise
  • Experience with AWS cloud technologies
  • Experience implementing Machine Learning systems in production environments
  • Experience with Apache Spark
  • Experience performing Exploratory Data Analysis (EDA)
  • Experience with Agentic AI technologies
  • Experience working with Large Language Models (LLMs)
  • Experience with Machine Learning feature engineering and development
  • Familiarity with additional Machine Learning models and advanced analytical techniques
Preferred Attributes
  • Strong problem-solving and analytical capabilities
  • Ability to work independently and collaboratively within mission-focused teams
  • Excellent written and verbal communication skills
  • Experience supporting high-security government environments
Compensation & Benefits
  • Competitive salary based on experience and qualifications
  • Comprehensive benefits package
  • Opportunity to support impactful national security missions
  • 100% employer-paid Medical, Dental, and Vision coverage for employees and their families (CareFirst)
  • 401(k) with employer match
  • Generous Paid Time Off and paid holidays
  • Annual bonus opportunities
  • Employer-paid short-term and long-term disability insurance
  • Employer-paid life insurance (150% of salary, up to $200K)
  • Monthly stipend for cell phone and internet
  • Additional employee perks and recognition programs
 
We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.