Machine Learning Visa Sponsorship Jobs in Maryland
Maryland's machine learning job market is anchored by federal contractors, biotech firms, and cybersecurity companies concentrated around the Washington D.C. corridor, Bethesda, and Baltimore. Major employers including Leidos, Booz Allen Hamilton, and Johns Hopkins APL regularly hire ML engineers and researchers, many of whom require H-1B visa or O-1 visa sponsorship to work in the state.
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Get Access To All JobsINTRODUCTION
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
DUTIES:
- Design, implement, and deploy end-to-end machine learning solutions.
- Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models.
- Work closely with cross-functional teams, from product and business units to data scientists, ensuring seamless integration of ML models into business-critical applications.
- Independently design, implement, deploy, and maintain machine learning models and components that solve real-world business problems in close collaboration with the Product, Business units, and Data Science teams.
- Write production-grade code for ML models as services and APIs.
- Collaborate with cross-functional teams including data engineering and software development, to integrate machine learning models into production systems.
- Build and maintain scalable data processing workflows and model deployment infrastructure.
- Debug and resolve model performance issues, track relevant metrics, and implement continuous improvements to ensure model accuracy and reliability.
- Collaborate with PM, Design, Product Engineering, and Data Science teams to ensure end-to-end business impact.
- May require pre-hire technical screen.
- Hybrid Work Policy - 3 days in office, 2 days work from home - Must be able to report to local office.
- Multiple positions open.
- Salary $105,000 to $215,000 per year.
REQUIREMENTS
- Bachelor’s degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Two (2) years of experience as a Software Engineer, or related occupation.
- Two (2) years of experience with:
- Developing and deploying machine learning models in production environments, with expertise in a variety of ML techniques;
- Writing production-grade code and creating APIs using frameworks such as TensorFlow, PyTorch, or Scikit-learn;
- Cloud-based environments and familiarity with containerization and orchestration tools;
- Building data processing and ML workflow pipelines using SQL, Spark, and Python scripting;
- Utilizing distributed computing frameworks and large-scale data processing tools;
- ML algorithm foundations;
- Engineering skills to develop production ML/AI systems;
- Transforming business problems into ML/AI problems;
- Advanced machine learning algorithms and techniques, including supervised, unsupervised, and generative models;
- Python;
- ML frameworks, such as TensorFlow, Keras, and PyTorch;
- Software development best practices, such as CI/CD, containerization, and version control;
- Cloud platforms (AWS, Azure, GCP) and ability to leverage them for scalable and efficient ML solutions;
- Data engineering concepts, including building scalable ETL pipelines, working with big data tools (Spark, Kafka), and ensuring smooth data flow for ML workflows.
TO APPLY:
Visit, https://careers.geico.com/
The GEICO Pledge:
Great Company:
At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.
Great Careers:
We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture:
We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards:
We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.
- Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
- Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
- Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
- Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
INTRODUCTION
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
DUTIES:
- Design, implement, and deploy end-to-end machine learning solutions.
- Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models.
- Work closely with cross-functional teams, from product and business units to data scientists, ensuring seamless integration of ML models into business-critical applications.
- Independently design, implement, deploy, and maintain machine learning models and components that solve real-world business problems in close collaboration with the Product, Business units, and Data Science teams.
- Write production-grade code for ML models as services and APIs.
- Collaborate with cross-functional teams including data engineering and software development, to integrate machine learning models into production systems.
- Build and maintain scalable data processing workflows and model deployment infrastructure.
- Debug and resolve model performance issues, track relevant metrics, and implement continuous improvements to ensure model accuracy and reliability.
- Collaborate with PM, Design, Product Engineering, and Data Science teams to ensure end-to-end business impact.
- May require pre-hire technical screen.
- Hybrid Work Policy - 3 days in office, 2 days work from home - Must be able to report to local office.
- Multiple positions open.
- Salary $105,000 to $215,000 per year.
REQUIREMENTS
- Bachelor’s degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Two (2) years of experience as a Software Engineer, or related occupation.
- Two (2) years of experience with:
- Developing and deploying machine learning models in production environments, with expertise in a variety of ML techniques;
- Writing production-grade code and creating APIs using frameworks such as TensorFlow, PyTorch, or Scikit-learn;
- Cloud-based environments and familiarity with containerization and orchestration tools;
- Building data processing and ML workflow pipelines using SQL, Spark, and Python scripting;
- Utilizing distributed computing frameworks and large-scale data processing tools;
- ML algorithm foundations;
- Engineering skills to develop production ML/AI systems;
- Transforming business problems into ML/AI problems;
- Advanced machine learning algorithms and techniques, including supervised, unsupervised, and generative models;
- Python;
- ML frameworks, such as TensorFlow, Keras, and PyTorch;
- Software development best practices, such as CI/CD, containerization, and version control;
- Cloud platforms (AWS, Azure, GCP) and ability to leverage them for scalable and efficient ML solutions;
- Data engineering concepts, including building scalable ETL pipelines, working with big data tools (Spark, Kafka), and ensuring smooth data flow for ML workflows.
TO APPLY:
Visit, https://careers.geico.com/
The GEICO Pledge:
Great Company:
At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.
Great Careers:
We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture:
We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards:
We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.
- Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
- Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
- Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
- Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Machine Learning Job Roles in Maryland
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Search Machine Learning Jobs in MarylandMachine Learning Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Maryland?
Federal contractors and defense technology firms are among the most active sponsors in Maryland. Booz Allen Hamilton, Leidos, Northrop Grumman, and SAIC regularly file H-1B petitions for machine learning engineers. On the research and biotech side, Johns Hopkins University, the Johns Hopkins Applied Physics Laboratory, and companies in the Bethesda life sciences corridor also sponsor ML talent. Consulting and cloud firms with Maryland offices, such as Deloitte and Microsoft, are additional sources.
Which visa types are most common for machine learning roles in Maryland?
The H-1B is the most common visa for machine learning professionals in Maryland, as ML engineer and data scientist roles typically qualify as specialty occupations requiring at least a bachelor's degree in a relevant field. Researchers at universities or nonprofit labs may encounter J-1 visa or O-1 visa options. Canadians and Mexicans in qualifying ML roles may be eligible for TN visa status. Those with advanced degrees should also ask employers about EB-2 or EB-1 immigrant pathways.
How to find machine learning visa sponsorship jobs in Maryland?
Migrate Mate is built specifically for international job seekers looking for visa sponsorship roles, including machine learning positions in Maryland. You can filter by state and role type to surface employers who have a documented history of sponsoring work visas. This saves time compared to manually researching which Maryland companies open to sponsorship, particularly among the federal contractors and biotech firms that dominate the state's ML hiring market.
Which cities in Maryland have the most machine learning sponsorship jobs?
The greatest concentration of machine learning sponsorship jobs in Maryland sits in the D.C. suburbs, particularly Bethesda, Rockville, and Silver Spring in Montgomery County, where federal agencies, contractors, and life sciences companies cluster. Baltimore is a secondary hub, driven by Johns Hopkins, the University of Maryland Medical System, and cybersecurity firms. Columbia, located between Baltimore and D.C., also hosts technology and government contractor offices that hire ML professionals.
Are there any Maryland-specific factors that affect machine learning visa sponsorship?
Maryland's heavy reliance on federal contracting creates a notable consideration: many ML roles require a U.S. security clearance, which is generally not available to non-citizens. This limits sponsorship opportunities to roles at commercial, academic, or non-classified government contractor divisions. On the positive side, the proximity to federal research agencies like NIH and NIST in Bethesda means strong demand for ML researchers in healthcare and standards-focused roles, which tend to be more open to international candidates.
What is the prevailing wage for sponsored machine learning 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.