AI ML Engineer Visa Sponsorship Jobs in Maryland
Maryland's AI/ML engineering market centers on the federal technology corridor spanning Bethesda, Rockville, and the Baltimore metro, where employers like Leidos, Booz Allen Hamilton, and the Johns Hopkins Applied Physics Laboratory regularly hire for these roles. Many positions intersect with defense and health informatics, meaning security clearance eligibility often matters alongside technical qualifications.
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Get Access To All JobsINTRODUCTION
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).
ABOUT THE ROLE
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)
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.
BASIC 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:
- Salary Range: $115,000 USD - $130,000 USD
INTRODUCTION
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).
ABOUT THE ROLE
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)
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.
BASIC 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:
- Salary Range: $115,000 USD - $130,000 USD
AI ML Engineer Job Roles in Maryland
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Search AI ML Engineer Jobs in MarylandAI ML Engineer Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Maryland?
Booz Allen Hamilton, Leidos, Northrop Grumman, and Perspecta are among Maryland's larger employers that have sponsored H-1B visas for AI and ML engineering roles. In the Baltimore area, organizations affiliated with Johns Hopkins and the University of Maryland also sponsor. Government contracting firms dominate the market, though many contract roles require U.S. citizenship or permanent residency due to clearance requirements.
Which visa types are most common for AI/ML engineer roles in Maryland?
The H-1B is the most common visa for AI/ML engineers in Maryland, given the specialized degree requirements these roles carry. Candidates already holding F-1 OPT or STEM OPT authorization are frequently hired before transitioning to H-1B sponsorship. Some research-affiliated roles at universities like Johns Hopkins or UMBC may also support J-1 visa or O-1 visa pathways depending on the position's scope.
Which cities in Maryland have the most AI/ML engineer sponsorship jobs?
The Montgomery County corridor, including Rockville, Bethesda, and Silver Spring, concentrates the largest number of AI/ML engineering roles due to its proximity to federal agencies and major defense contractors. Baltimore is a secondary hub, driven by university research institutions and health technology companies. Annapolis Junction also has a notable cluster tied to government intelligence and cybersecurity programs.
How to find ai ml engineer visa sponsorship jobs in Maryland?
Migrate Mate filters AI/ML engineer job listings specifically to employers who sponsor work visas, making it more focused than general job searches. For Maryland, you can narrow results to cities like Rockville, Baltimore, or Columbia to surface roles from defense contractors, health tech firms, and research institutions. Migrate Mate surfaces roles where sponsorship is an active part of the hiring process, not an afterthought.
Are there state-specific considerations for AI/ML engineers pursuing sponsorship in Maryland?
Maryland's heavy concentration of federal contractors means a significant share of AI/ML roles require security clearances, which typically require U.S. citizenship or permanent residency and cannot be sponsored for foreign nationals. This narrows the sponsorship-eligible job pool compared to states with more commercial tech sectors. Candidates without clearance eligibility should focus on commercial health tech, university research labs, and private-sector employers in the Baltimore-Washington corridor.
What is the prevailing wage for sponsored ai ml engineer jobs in Maryland?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.