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Internship Machine Learning Compiler Engineer Jobs in Frederick, MD

SynergisticIT

Software Engineer

Rockville, MD · On-site

For data science/machine learning positions required skills bachelors degree or masters degree in ... computer engineering, electrical engineering, information systems, IT project work on the ...

KMM Technologies, Inc

AI Engineer

Rockville, MD

Lead AI Engineer Location: Rockville, MD / Tysons, VA #HYBRID Duration: 12 months #Contract ... machine learning -Proven track record of building and deploying production AI/ML systems ...

KMM Technologies, Inc.

AI Engineer

Rockville, MD

$81K - $110K/yr

Lead AI Engineer Location: Rockville, MD / Tysons, VA #HYBRID Duration: 12 months #Contract ... machine learning -Proven track record of building and deploying production AI/ML systems ...

KMM Technologies, Inc.

AI Engineer

Rockville, MD

$81K - $110K/yr

Lead AI Engineer Location: Rockville, MD / Tysons, VA #HYBRID Duration: 12 months #Contract ... machine learning -Proven track record of building and deploying production AI/ML systems ...

Leidos

Senior MLOps Engineer

Gaithersburg, MD · On-site

$107K - $195K/yr

Design, build, andmaintainscalable machine learning pipelines for model deployment, validation ... Develop andmaintainsystems engineering and cybersecurity artifacts for the System. * Prepare ...

Meso Scale Discovery

Software Engineer

Gaithersburg, MD · On-site +1

$78K - $116K/yr

The position involves developing technical solutions that incorporate artificial intelligence (AI), machine learning (ML), computer vision, and IoT to solve complex scientific and engineering ...

MSD

Software Engineer

Gaithersburg, MD · On-site

$78K - $116K/yr

The position involves developing technical solutions that incorporate artificial intelligence (AI), machine learning (ML), computer vision, and IoT to solve complex scientific and engineering ...

Axle

AI/ML Scientist/Developer

Frederick, MD · On-site

They are seeking an AI/ML Scientist/Developer to develop innovative computational models to predict ... Responsibilities : • The successful candidate will design and implement machine learning models ...

Axle

AI/ML Scientist/Developer

Frederick, MD · On-site

They are seeking an AI/ML Scientist/Developer to develop computational models for organoid growth ... Responsibilities : • The successful candidate will design and implement machine learning models ...

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All JobsMachine Learning Compiler Engineer JobsInternship Machine Learning Compiler Engineer JobsInternship Machine Learning Compiler Engineer Jobs in Frederick, MD

Internship Machine Learning Compiler Engineer information

See Frederick, MD salary details

$25.4K

$42.3K

$87.5K

How much do internship machine learning compiler engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for internship machine learning compiler engineer in Frederick, MD is $42,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Compiler Engineer vs Internship Software Engineer?

AspectInternship Machine Learning Compiler EngineerInternship Software Engineer
FocusDeveloping and optimizing compilers for machine learning modelsDesigning, coding, and testing software applications across various domains
SkillsMachine learning, compiler design, programming (C++, Python)Programming, algorithms, software development
Work EnvironmentResearch labs, tech companies, AI-focused teamsTech companies, startups, software firms
Industry UsageAI, machine learning, deep learning industriesBroad software development across industries

Internship Machine Learning Compiler Engineers focus on creating and optimizing compilers for machine learning models, requiring knowledge of AI and compiler design. In contrast, Internship Software Engineers work on developing general software applications across various fields. Both roles involve programming skills but differ in their specialization and industry focus.

What are popular job titles related to Internship Machine Learning Compiler Engineer jobs in Frederick, MD? For Internship Machine Learning Compiler Engineer jobs in Frederick, MD, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Compiler Engineer jobs in Frederick, MD look for? The top searched job categories for Internship Machine Learning Compiler Engineer jobs in Frederick, MD are:
Internship Machine Learning Compiler Engineer jobs near you
Infographic showing various Internship Machine Learning Compiler Engineer job openings in Frederick, MD as of June 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,340 per year, or $20.4 per hour.
Internship Opportunities

Internship Opportunities

Digital Infuzion

Rockville, MD • On-site

Internship

Posted 17 days ago

Job description

Program Overview
Digital Infuzion's Summer Internship Program is designed for students and recent graduates who want to apply their skills to projects that directly improve public health. Interns gain hands-on experience in biomedical informatics, data science, AI, clinical research, cybersecurity, and business operations-working alongside experts who support the NIH, FDA, and other federal health agencies.
This program is built for candidates who want meaningful work, real professional development, and exposure to mission-driven public health initiatives.
Location
The work schedule for Digital Infuzion is hybrid, and for internships it depends on the internship track, all applicants should be prepared to work a to-be-determined hybrid schedule that would include several days a week in our Rockville, MD office.
What You'll Gain
  • Real Project Experience: Contribute to meaningful, mission-driven assignments that advance healthcare technology.
  • Mentorship: Work closely with seasoned professionals who support your technical and career growth.
  • AI Innovation Challenge: Each summer culminates in a cross-disciplinary AI Innovation Challenge, where interns team up to solve a real-world health IT problem.
  • Networking: Build lasting connections with peers, mentors, and leaders across the company.
  • Growth Path: Many interns successfully transition into full-time careers at Digital Infuzion (DIFZ).

2026 Internship Tracks (Anticipated)
  • Software Development & AI Engineering: Design and build AI-driven applications that support biomedical research and healthcare analytics, leveraging NIH-approved cloud platforms and production-ready machine-learning models to support real-time clinical decision-making.
  • Data Science & AI Research: Apply predictive modeling to improve clinical trial recruitment and diversity, develop NLP pipelines that mine biomedical literature, and craft surveillance models that detect adverse events sooner.
  • Health IT & Biomedical Informatics: Work with NIH clinical research tracking systems (e.g., eRA Commons, NIA CROMS), gain hands-on exposure to FHIR/HL7 interoperability, and tackle data governance and security challenges in health-research IT.
  • Business Operations & GovCon Strategy (Limited Seats): Support proposal writing, contract management, and federal procurement (FAR/DFARS), while contributing to business development efforts for NIH and FDA opportunities.

General Responsibilities (All Interns)
Depending on the track and assignment, interns may:
  • Contribute to project deliverables under the guidance of technical and/or business leaders.
  • Participate in team meetings, mentorship sessions, and professional development activities.
  • Present work progress and outcomes, including participation in the AI Innovation Challenge.
  • Collaborate across disciplines (engineering, data, informatics, operations) to solve real client problems.
  • Produce clear documentation of work (technical notes, analysis, briefs, or proposals, depending on the track).

Required Qualifications
  • U.S. Citizen or U.S. Permanent Resident (mandatory).
  • Currently enrolled in an accredited undergraduate or graduate program.
  • Ability to work on-site from Digital Infuzion headquarters (HQ) in Rockville, MD.
  • Interest in applying skills to public health, healthcare, or health IT mission areas.
  • Strong written and verbal communication skills.
  • Ability to work collaboratively in a professional team environment.

Application Process
To be considered, candidates must submit:
  1. Resume/CV
  2. Statement of Interest (≤ 500 words)
    • Identify your preferred track.
    • Explain why it interests you and how your skills/coursework prepare you to contribute.
  3. Academic Transcript (unofficial PDF or screenshot acceptable)
Upon review of your application, if selected, you will complete a screening call with a member of the Talent Acquisition team to assess overall fit, answer questions, and complete a core values assessment (outlined below).
Digital Infuzion Core Values
Our team thrives in a creative, open, and growth-oriented environment, guided by our core values:
  • Outcomes First: Focus on what matters most and make timely, informed decisions.
  • Innovative: Embrace creativity and continuous improvement to drive novel solutions.
  • Radical Candor: Communicate openly and honestly, balancing direct feedback with genuine care.
  • Never Satisfied: Pursue excellence and continuous growth beyond the status quo.
  • Resilient: Adapt and persevere through challenges, turning obstacles into opportunities.

Digital Infuzion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor per Federal laws.
We can provide reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact Talent Acquisition at careers@digitalinfuzion.com. The decision on granting reasonable accommodation will be made on a case-by-case basis.

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