AI ML Engineering Visa Sponsorship Jobs in Maryland
Maryland's AI and ML engineering sector is anchored by federal contractors, biotech firms, and cybersecurity companies concentrated around the Baltimore-Washington corridor. Employers like Leidos, SAIC, Northrop Grumman, and Johns Hopkins Applied Physics Laboratory actively hire for these roles, with many positions requiring visa sponsorship for international candidates.
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Get Access To All JobsINTRODUCTION
We are seeking a Data Scientist I who will support the management of complex databases as well as develop, maintain, and document code. The Data Scientist will collect and extract data using a variety of data extraction tools and carry out data management, visualization, and analysis tasks.
Specific Duties & Responsibilities
- Support the development of dashboards, calculations, and reports which may require programming.
- Support the development and tuning of machine learning models, which may require programming.
- Support the development of infrastructure for cleaning and processing data and running experiments to evaluate system performance.
- Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful for planning and service design.
- Perform error analysis and suggest and implement improvements.
- Other duties as assigned.
In addition to the duties described above:
- Wrangle and analyze Electronic Health Record data and other real-world data including health insurance claims.
- Use SQL, R and/or Python for statistical analysis.
- Apply best practices for real-world evidence principles, including bias, confounding, and study design considerations.
MINIMUM QUALIFICATIONS
- Bachelor’s Degree.
- Four years of relevant quantitative research and analytics experience, with at least two of those years including complex programming experience.
- Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
PREFERRED QUALIFICATIONS
- Strong proficiency in coding and data wrangling with SQL, R and/or Python for statistical analysis.
- Experience with econometrics techniques.
- Experience with electronic health records and cost-related data such as claims.
- Real-world evidence techniques including target trial emulation.
Technical Skills & Expected Level of Proficiency
- Continuous Improvement - Developing
- Data Architecture - Developing
- Data Management and Analysis - Developing
- Data Tools and Platforms - Developing
- Data Validation and Quality Assurance - Developing
- Data Visualization - Developing
- Machine Learning - Developing
- Oral and written communications - Developing
- Programming Languages - Developing
The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.
Classified Title: Data Scientist I
Role/Level/Range: ATP/04/PG
Starting Salary Range: $102,295 - $179,375 Annually (Commensurate w/exp.)
Employee group: Full Time
Schedule: Monday to Friday: 9:00am – 5:00pm
FLSA Status: Exempt
Location: Hybrid/School of Public Health
Department name: Health Economics
Personnel area: School of Public Health
Total Rewards
The referenced base salary range represents the low and high end of Johns Hopkins University’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.
Education and Experience Equivalency
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
Applicants Completing Studies
Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.
Background Checks
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.
Diversity and Inclusion
The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
Accommodation Information
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit: https://accessibility.jhu.edu/.
Vaccine Requirements
Johns Hopkins University requires all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry.
The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
INTRODUCTION
We are seeking a Data Scientist I who will support the management of complex databases as well as develop, maintain, and document code. The Data Scientist will collect and extract data using a variety of data extraction tools and carry out data management, visualization, and analysis tasks.
Specific Duties & Responsibilities
- Support the development of dashboards, calculations, and reports which may require programming.
- Support the development and tuning of machine learning models, which may require programming.
- Support the development of infrastructure for cleaning and processing data and running experiments to evaluate system performance.
- Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful for planning and service design.
- Perform error analysis and suggest and implement improvements.
- Other duties as assigned.
In addition to the duties described above:
- Wrangle and analyze Electronic Health Record data and other real-world data including health insurance claims.
- Use SQL, R and/or Python for statistical analysis.
- Apply best practices for real-world evidence principles, including bias, confounding, and study design considerations.
MINIMUM QUALIFICATIONS
- Bachelor’s Degree.
- Four years of relevant quantitative research and analytics experience, with at least two of those years including complex programming experience.
- Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
PREFERRED QUALIFICATIONS
- Strong proficiency in coding and data wrangling with SQL, R and/or Python for statistical analysis.
- Experience with econometrics techniques.
- Experience with electronic health records and cost-related data such as claims.
- Real-world evidence techniques including target trial emulation.
Technical Skills & Expected Level of Proficiency
- Continuous Improvement - Developing
- Data Architecture - Developing
- Data Management and Analysis - Developing
- Data Tools and Platforms - Developing
- Data Validation and Quality Assurance - Developing
- Data Visualization - Developing
- Machine Learning - Developing
- Oral and written communications - Developing
- Programming Languages - Developing
The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.
Classified Title: Data Scientist I
Role/Level/Range: ATP/04/PG
Starting Salary Range: $102,295 - $179,375 Annually (Commensurate w/exp.)
Employee group: Full Time
Schedule: Monday to Friday: 9:00am – 5:00pm
FLSA Status: Exempt
Location: Hybrid/School of Public Health
Department name: Health Economics
Personnel area: School of Public Health
Total Rewards
The referenced base salary range represents the low and high end of Johns Hopkins University’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.
Education and Experience Equivalency
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
Applicants Completing Studies
Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.
Background Checks
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.
Diversity and Inclusion
The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
Accommodation Information
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit: https://accessibility.jhu.edu/.
Vaccine Requirements
Johns Hopkins University requires all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry.
The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
AI ML Engineering Job Roles in Maryland
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Search AI ML Engineering Jobs in MarylandAI ML Engineering Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Maryland?
Federal contractors and defense technology firms are among the most active visa sponsors for AI and ML engineers in Maryland. Companies like Leidos, SAIC, Northrop Grumman, Booz Allen Hamilton, and Peraton regularly file H-1B visa petitions for these roles. Biotech and health tech employers in the Baltimore area, including those connected to Johns Hopkins and the University of Maryland system, also sponsor international candidates for AI and ML positions.
Which visa types are most common for AI ML engineering roles in Maryland?
The H-1B is the most common visa category for AI and ML engineers in Maryland, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT may work while an employer files an H-1B petition. Some research-focused positions at universities or affiliated labs may also be eligible for J-1 visa or O-1 visa categories depending on the candidate's qualifications.
Which cities in Maryland have the most AI ML engineering sponsorship jobs?
The Baltimore-Washington corridor concentrates the majority of AI and ML engineering sponsorship opportunities in Maryland. Bethesda, Rockville, and Silver Spring in Montgomery County are particularly active, given the density of federal agencies, contractors, and life sciences companies. Baltimore itself has a growing tech presence tied to its university ecosystem. Greenbelt and College Park also see demand, partly due to proximity to NASA Goddard and the University of Maryland.
How to find ai ml engineering visa sponsorship jobs in Maryland?
Migrate Mate is built specifically for international job seekers and filters AI and ML engineering roles in Maryland by visa sponsorship availability, so you're not sorting through listings that won't support international candidates. The platform is useful for identifying which Maryland employers are actively sponsoring at a given time, particularly among the federal contractor and biotech clusters that drive most of the state's demand for these roles.
Are there state-specific considerations for AI ML engineers seeking sponsorship in Maryland?
Maryland's large federal contracting sector introduces a factor many candidates don't anticipate: security clearance requirements. A number of AI and ML roles with contractors like Leidos or SAIC require active U.S. security clearances, which are generally not available to non-U.S. persons. International candidates should focus on roles explicitly open to visa holders, which are more common in commercial tech, biotech, and university-affiliated research environments in the state.
What is the prevailing wage for sponsored ai ml engineering 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.