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Internship Machine Learning Compiler Engineer Jobs in Frederick, MD

AI/ML Scientist/Developer

Frederick, MD ยท On-site

$115K - $130K/yr

The successful candidate will design and implement machine learning models that predict organoid ... Strong programming skills in Python, R, or similar languages are required, along with experience ...

AI/ML Solution Engineer

Rockville, MD ยท On-site

$140K - $180K/yr

AI/ML Solution Engineer CTIS is on the lookout for an experienced AI/ML Solution Engineer to be a ... Expert knowledge of machine learning, deep learning, and statistical modeling. * Strong ...

The successful candidate will design and implement machine learning models that predict organoid ... Strong programming skills in Python, R, or similar languages are required, along with experience ...

Job Title : AI/ML Solution Engineer CTIS is on the lookout for an experienced AI/ML Solution ... Expert knowledge of machine learning, deep learning, and statistical modeling. * Strong ...

AI/ML Solution Engineer

Rockville, MD ยท On-site

$140K - $180K/yr

AI/ML Solution Engineer CTIS is on the lookout for an experienced AI/ML Solution Engineer to be a ... Expert knowledge of machine learning, deep learning, and statistical modeling. * Strong ...

Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry. * Experience with one or more of the following applied machine ...

Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry. * Experience with one or more of the following applied machine ...

Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry. * Experience with one or more of the following applied machine ...

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Showing results 1-20

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 Jul 15, 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:
AI/ML Scientist/Developer

AI/ML Scientist/Developer

Axle

Frederick, MD โ€ข On-site

$115K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

(ID: 2025-0402)
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Axle is seeking a AI/ML Scientist/Developer to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.
Benefits We Offer:
  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

Overview
The AI/ML Scientist/Developer will develop innovative computational models to predict and optimize organoid growth and differentiation protocols. This position represents a unique opportunity to apply cutting-edge machine learning techniques to advance organoid standardization and contribute to the development of predictive models for tissue engineering applications.
Responsibilities
  • The successful candidate will design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
  • They will develop in silico models that can simulate organoid growth dynamics and identify optimal conditions for reproducible organoid generation.
  • The role involves creating feedback loops between experimental validation and computational prediction to iteratively improve protocol standardization.
  • Collaboration with experimental teams to design validation experiments and with data scientists to integrate multi-modal datasets will be essential components of this position.

Required Qualifications
  • Candidates must possess a Master's degree or PhD in computer science, engineering, applied mathematics, or a related field with demonstrated experience in AI/ML model development.
  • Strong programming skills in Python, R, or similar languages are required, along with experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Previous experience applying computational methods in biological laboratory settings is necessary, with knowledge of experimental design principles and biological data types.

Preferred Qualifications
  • Experience with organoid systems or tissue engineering applications is highly desirable.
  • Knowledge of differential equations, systems biology modeling, and experience with deep learning approaches for biological applications will be considered strong assets.
  • Familiarity with cloud computing platforms and containerization technologies is preferred.

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.
The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.
Salary Range
$115,000-$130,000 USD