ML Engineer Visa Sponsorship Jobs in Washington DC
Washington DC's ML engineer job market is anchored by federal agencies, defense contractors, and consulting firms including Booz Allen Hamilton, Leidos, and Palantir. Many roles require security clearances, which affects sponsorship availability. The broader metro area, including Northern Virginia's tech corridor, offers the highest concentration of ML engineering positions with visa sponsorship.
See All ML Engineer JobsOverview
Showing 5 of 28+ ML Engineer Jobs in Washington DC with Visa Sponsorship jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 28+ ML Engineer Jobs in Washington DC with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer Jobs in Washington DC with Visa Sponsorship.
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.
ML Engineer Job Roles in Washington DC
See all 28+ ML Engineer Jobs in Washington DC
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search ML Engineer Jobs in Washington DCML Engineer Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Washington DC?
Booz Allen Hamilton, Leidos, CACI International, Palantir, and Amazon Web Services have all filed H-1B petitions for ML engineering roles in the DC metro area. Consulting firms like Accenture and Deloitte Federal also sponsor ML engineers regularly. Note that roles tied to federal contracts often require security clearances, which can limit sponsorship eligibility for international candidates.
Which visa types are most common for ML engineer roles in Washington DC?
The H-1B is the most common visa for ML engineers in DC, given that the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with a master's degree from a U.S. university may benefit from the advanced degree exemption in the H-1B lottery. L-1B visas are also used by multinational firms transferring ML specialists into DC offices.
Which areas in Washington DC have the most ML engineer sponsorship jobs?
Most ML engineering sponsorship activity in the DC area is concentrated in Northern Virginia, particularly Tysons Corner, Reston, and Arlington, which form the region's primary technology corridor. Downtown DC itself hosts federal agency contractors and policy-adjacent tech firms. Maryland suburbs like Bethesda and Rockville also have a notable presence, particularly in health data and biotech ML applications.
How to find ml engineer visa sponsorship jobs in Washington DC?
Migrate Mate filters ML engineer jobs in Washington DC specifically by visa sponsorship availability, so you're not manually screening hundreds of listings. The platform surfaces roles from contractors, tech firms, and consulting companies in the DC metro that have a documented history of sponsoring H-1B and other work visas for ML engineering positions. It's a practical starting point for international candidates targeting this market.
Are there any DC-specific considerations for ML engineers seeking visa sponsorship?
The DC metro market is heavily shaped by federal contracting, and many ML roles require active security clearances or at minimum U.S. persons eligibility, which excludes most visa holders. Candidates should prioritize commercial-sector employers or contractors with dedicated commercial divisions. University pipelines from Georgetown, George Mason, and the University of Maryland supply strong local talent networks and occasionally lead to OPT-to-sponsorship pathways.
What is the prevailing wage for sponsored ml 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.
See which ml engineer employers are hiring and sponsoring visas in Washington DC right now.
Search ML Engineer Jobs in Washington DC