Machine Learning Engineer Visa Sponsorship Jobs in Washington DC
Washington DC's machine learning engineer job market is anchored by federal agencies, defense contractors, and policy-adjacent tech firms. Employers like Booz Allen Hamilton, Leidos, Palantir, and Amazon Web Services actively hire ML engineers here, many of whom require H-1B or O-1 visa sponsorship. Security clearance compatibility and government contract work shape hiring in ways distinct from other major tech markets.
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Get Access To All JobsINTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to solution design, implementation, and production support in partnership with business partners and senior technical leaders.
KEY RESPONSIBILITIES
Solution Development & Delivery
- Implement AI-powered services and application features that integrate enterprise data and systems with LLMs and ML models.
- Contribute to solution design by proposing approaches, identifying dependencies, and documenting tradeoffs and implementation plans.
- Deliver features using strong engineering practices: test automation, code review, CI/CD, and operational readiness.
GenAI Engineering Practices
- Build and tune RAG pipelines (retrieval, ranking, grounding) and implement prompt patterns that improve reliability and user experience.
- Contribute to evaluation suites and regression testing to ensure quality and safety over time.
- Implement guardrails and security controls (input/output validation, policy filtering, and data protection patterns) under guidance from senior engineers.
Reliability, Observability & Support
- Instrument services with metrics, traces, logs, and dashboards; participate in incident response and post-incident improvements.
- Support performance and cost optimization efforts (latency, throughput, caching, and model selection).
- Follow and reinforce platform standards for deployment, versioning, monitoring, and documentation.
Collaboration & Continuous Improvement
- Work closely with product, design, security, and platform teams to refine requirements and deliver customer-focused outcomes.
- Mentor engineers at earlier career stages and share practical learnings with the broader AI/ML community of practice.
- Stay current on GenAI and ML platform trends; propose incremental improvements that raise quality and accelerate delivery.
REQUIRED QUALIFICATIONS
- 5+ years of software engineering experience delivering production systems, including modern APIs and application development.
- 3+ years of experience applying ML/AI concepts in real systems; GenAI exposure (LLMs, RAG, evaluation) strongly preferred.
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Proficiency in backend engineering (APIs, services) and comfort contributing across the stack when needed.
- Working knowledge of LLM application development (prompting, RAG, tool calling) and evaluation practices.
- Experience with CI/CD, testing, containerization, and basic Kubernetes concepts.
- Strong debugging and operational skills; ability to improve reliability and performance based on telemetry and root cause analysis.
- Effective collaboration and communication skills across technical and non-technical stakeholders.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)
ANTICIPATED WEEKLY HOURS
40
TIME TYPE
Full time
PAY RANGE
The typical pay range for this role is:
$83,430.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 04/22/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
INTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to solution design, implementation, and production support in partnership with business partners and senior technical leaders.
KEY RESPONSIBILITIES
Solution Development & Delivery
- Implement AI-powered services and application features that integrate enterprise data and systems with LLMs and ML models.
- Contribute to solution design by proposing approaches, identifying dependencies, and documenting tradeoffs and implementation plans.
- Deliver features using strong engineering practices: test automation, code review, CI/CD, and operational readiness.
GenAI Engineering Practices
- Build and tune RAG pipelines (retrieval, ranking, grounding) and implement prompt patterns that improve reliability and user experience.
- Contribute to evaluation suites and regression testing to ensure quality and safety over time.
- Implement guardrails and security controls (input/output validation, policy filtering, and data protection patterns) under guidance from senior engineers.
Reliability, Observability & Support
- Instrument services with metrics, traces, logs, and dashboards; participate in incident response and post-incident improvements.
- Support performance and cost optimization efforts (latency, throughput, caching, and model selection).
- Follow and reinforce platform standards for deployment, versioning, monitoring, and documentation.
Collaboration & Continuous Improvement
- Work closely with product, design, security, and platform teams to refine requirements and deliver customer-focused outcomes.
- Mentor engineers at earlier career stages and share practical learnings with the broader AI/ML community of practice.
- Stay current on GenAI and ML platform trends; propose incremental improvements that raise quality and accelerate delivery.
REQUIRED QUALIFICATIONS
- 5+ years of software engineering experience delivering production systems, including modern APIs and application development.
- 3+ years of experience applying ML/AI concepts in real systems; GenAI exposure (LLMs, RAG, evaluation) strongly preferred.
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Proficiency in backend engineering (APIs, services) and comfort contributing across the stack when needed.
- Working knowledge of LLM application development (prompting, RAG, tool calling) and evaluation practices.
- Experience with CI/CD, testing, containerization, and basic Kubernetes concepts.
- Strong debugging and operational skills; ability to improve reliability and performance based on telemetry and root cause analysis.
- Effective collaboration and communication skills across technical and non-technical stakeholders.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)
ANTICIPATED WEEKLY HOURS
40
TIME TYPE
Full time
PAY RANGE
The typical pay range for this role is:
$83,430.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 04/22/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Machine Learning Engineer Job Roles in Washington DC
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Search Machine Learning Engineer Jobs in Washington DCMachine Learning Engineer Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Washington DC?
Booz Allen Hamilton, Leidos, SAIC, Palantir, and Amazon Web Services are among the more active sponsors for machine learning engineers in the DC area. Federal consulting firms dominate the local market, so many ML roles are tied to government contracts. Large technology companies with DC offices, including Microsoft and Google, also file H-1B petitions for ML engineers in this region regularly.
Which visa types are most common for machine learning engineer roles in Washington DC?
The H-1B is the most common visa for machine learning engineers in Washington DC, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, mathematics, or a related field. Candidates with exceptional recognition may pursue the O-1A. Some employer-sponsored green card pathways, particularly EB-2 and EB-3, are also used by DC-area employers for established ML engineers.
How to find machine learning engineer visa sponsorship jobs in Washington DC?
Migrate Mate filters machine learning engineer jobs specifically by visa sponsorship and location, making it straightforward to identify DC-area employers who are open to sponsoring. Because Washington DC's ML market is heavily tied to government contracting, it helps to look for roles that explicitly list H-1B sponsorship and do not require active security clearances, as those positions are generally not available to visa holders.
Which areas in Washington DC have the most machine learning engineer sponsorship jobs?
Most ML engineering sponsorship activity in the DC metro area is concentrated in DC proper, Bethesda, McLean, and Arlington in Northern Virginia. The Northern Virginia corridor, sometimes called the DMV tech corridor, hosts major data center infrastructure and defense tech firms. Bethesda and Rockville in Maryland are also notable, particularly for ML roles adjacent to health research institutions like the NIH.
Are there any DC-specific considerations for machine learning engineers seeking visa sponsorship?
Washington DC's ML hiring is uniquely shaped by federal contracting. Many roles require or prefer U.S. citizenship or security clearances, which are unavailable to most visa holders, so it is important to identify roles at agencies or contractors that explicitly sponsor and do not have clearance prerequisites. Universities like Georgetown and George Washington also produce ML talent pipelines that influence how DC employers approach OPT and H-1B hiring.
What is the prevailing wage for sponsored machine learning engineer jobs in Washington DC?
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.
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