Machine Learning Engineer Visa Sponsorship Jobs in Maryland
Maryland's machine learning engineer job market is anchored by federal contractors, biotech firms, and defense technology companies concentrated around the Baltimore-Washington corridor. Major employers including Northrop Grumman, Leidos, and Johns Hopkins Applied Physics Laboratory regularly hire ML engineers, and many have established visa sponsorship programs for qualified international candidates.
Find Machine Learning Engineer JobsOverview
Showing 5 of 15+ Machine Learning Engineer Jobs in Maryland with Visa Sponsorship










See all Machine Learning Engineer Jobs in Maryland with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer Jobs in Maryland with Visa Sponsorship.
Get Access To All Jobs
INTRODUCTION
Join the HJF Team!
HJF is seeking Postdoctoral Fellow - Computational Biology & Machine Learning who will be responsible for initiating and carrying out research projects in collaboration with a research team consisting of scientific and clinical investigators. Candidates should have a strong working knowledge of computational biology and machine learning preferably in the area of single-cell and spatial omics, epigenomics, or liquid biopsy fragmentomics.
This position will be in support of Dr. Raunak Shrestha’s laboratory at the Center for Prostate Disease Research (CPDR) at the Murtha Cancer Center Research Program (MCCRP). The Shrestha Lab is a computational cancer genomics and data science research group that focuses on elucidating the drivers of cancer progression and therapeutic resistance. We aim to advance personalized medicine and improve clinical outcomes for prostate cancer patients by understanding the complex interplay of the multi-omics information.
The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals.
Machine Learning Engineer Job Roles in Maryland
See all Machine Learning Engineer Jobs in Maryland
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Machine Learning Engineer Jobs in MarylandMachine Learning Engineer Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Maryland?
Federal contractors and defense technology firms are among the most active sponsors in Maryland. Companies like Northrop Grumman, Leidos, Booz Allen Hamilton, and SAIC have consistent H-1B visa filing histories for machine learning and AI roles. The Baltimore and Bethesda areas also have biotech and health IT employers, including companies affiliated with Johns Hopkins and the University of Maryland, that sponsor ML engineering talent.
Which visa types are most common for machine learning engineer roles in Maryland?
The H-1B is the most common visa for machine learning engineers in Maryland, as the role clearly meets specialty occupation requirements given the degree-specific technical demands. Candidates with extraordinary ability in AI or ML research may also qualify for the O-1A. International students completing degrees at Maryland universities sometimes transition through OPT or STEM OPT before their employer pursues H-1B sponsorship.
Which cities in Maryland have the most machine learning engineer sponsorship jobs?
The Baltimore-Washington corridor concentrates most ML engineering sponsorship activity in Maryland. Bethesda and Rockville host numerous federal health agencies and contractors, including NIH-adjacent organizations, that hire ML engineers. Baltimore has a growing tech and life sciences presence tied to Johns Hopkins and University of Maryland Medical System. Columbia and Greenbelt also have technology employer clusters, particularly defense and government IT contractors.
How to find machine learning engineer visa sponsorship jobs in Maryland?
Migrate Mate filters job listings specifically to roles with active visa sponsorship, making it straightforward to search for machine learning engineer positions in Maryland without sifting through employers unlikely to sponsor. Because Maryland's ML market skews toward federal contractors and research institutions, filtering by sponsorship history is especially useful here. Migrate Mate surfaces those verified sponsoring employers so you can focus your applications on realistic opportunities.
Are there state-specific considerations for machine learning engineers seeking visa sponsorship in Maryland?
Maryland's heavy concentration of federal contractors introduces one important consideration: many positions require security clearances, which are generally unavailable to non-U.S. citizens or permanent residents. This limits the pool of sponsoring roles for international candidates compared to states with more commercial tech sectors. Focusing on civilian-facing employers, university research labs, and commercial biotech or health IT firms in Maryland tends to yield more accessible sponsorship opportunities.
What is the prevailing wage for sponsored machine learning 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.