Machine Learning Engineer Visa Sponsorship Jobs in Virginia
Virginia is one of the strongest states for machine learning engineer visa sponsorship, driven by a dense concentration of federal contractors, defense tech firms, and cloud infrastructure companies in the Northern Virginia corridor. Major employers including Booz Allen Hamilton, Leidos, Amazon Web Services, and Capital One actively hire and sponsor ML engineers across McLean, Arlington, Reston, and Tysons.
Find Machine Learning Engineer JobsOverview
Showing 5 of 88+ Machine Learning Engineer Jobs in Virginia with Visa Sponsorship
See all 88+ Machine Learning Engineer Jobs in Virginia 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 Virginia with Visa Sponsorship.
Get Access To All JobsDESCRIPTION
The Amazon Web Services (AWS) Data Center Delivery Operations team seeks a Senior Program Manager to serve as the operational backbone of the Machine Learning (ML) Capacity Delivery organization. The person in this seat owns the rhythm of the business, ensures leadership is always decision-ready, and drives the mechanisms that keep a large, fast-moving ML infrastructure delivery organization aligned and accountable. The Senior Program Manager operates with full autonomy, shapes operating strategy, and influences outcomes at the Director and Vice President level.
Key job responsibilities
- Own the ML Capacity Delivery rhythm of business end-to-end — design, run, and continuously improve the operating cadence across weekly business reviews (WBRs), monthly business reviews (MBRs), and quarterly business reviews (QBRs); ensure each mechanism produces decisions, not just updates.
- Drive organizational goal-setting and goal-tracking cycles; partner with senior leaders to translate ML capacity delivery strategy into measurable quarterly and annual goals, track progress against them weekly, and surface risks before they become misses.
- Own document readiness for all leadership forums; set and enforce timelines for narrative preparation, pre-read distribution, and post-meeting action tracking; hold contributors accountable to quality and deadline standards.
- Author and edit executive-level narratives, escalation memos, and business review documents on behalf of the ML Capacity Delivery leadership team; produce clear, data-driven written communication for Director and VP audiences with no supervision.
- Serve as the primary coordination layer across stakeholders — including finance, recruiting, engineering, and technical program management — to resolve cross-functional dependencies, align on priorities, and drive decisions at pace.
- Identify gaps in organizational visibility; build and maintain reporting dashboards and scorecards that give leadership a real-time view of ML capacity delivery health, headcount, and program milestones.
- Lead the annual and mid-year headcount planning cycle for the ML Capacity Delivery organization; partner with finance and recruiting to translate demand signals into staffing plans with clear owners and milestones.
- Manage the leadership team's strategic calendar — sequence the right conversations at the right cadence, eliminate redundant forums, and protect senior leader time for high-leverage decisions.
- Mentor junior program managers on operating rigor, written communication standards, and stakeholder management; establish and codify best practices across the organization.
BASIC QUALIFICATIONS
- 6+ years of working cross functionally with tech and non-tech teams experience
- 5+ years of cross functional project delivery experience
- 5+ years of program or project management experience
- Experience defining program requirements and using data and metrics to determine improvements
PREFERRED QUALIFICATIONS
- Experience managing, analyzing and communicating results to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, VA, Herndon - 127,200.00 - 172,100.00 USD annually
USA, WA, Seattle - 127,200.00 - 172,100.00 USD annually
DESCRIPTION
The Amazon Web Services (AWS) Data Center Delivery Operations team seeks a Senior Program Manager to serve as the operational backbone of the Machine Learning (ML) Capacity Delivery organization. The person in this seat owns the rhythm of the business, ensures leadership is always decision-ready, and drives the mechanisms that keep a large, fast-moving ML infrastructure delivery organization aligned and accountable. The Senior Program Manager operates with full autonomy, shapes operating strategy, and influences outcomes at the Director and Vice President level.
Key job responsibilities
- Own the ML Capacity Delivery rhythm of business end-to-end — design, run, and continuously improve the operating cadence across weekly business reviews (WBRs), monthly business reviews (MBRs), and quarterly business reviews (QBRs); ensure each mechanism produces decisions, not just updates.
- Drive organizational goal-setting and goal-tracking cycles; partner with senior leaders to translate ML capacity delivery strategy into measurable quarterly and annual goals, track progress against them weekly, and surface risks before they become misses.
- Own document readiness for all leadership forums; set and enforce timelines for narrative preparation, pre-read distribution, and post-meeting action tracking; hold contributors accountable to quality and deadline standards.
- Author and edit executive-level narratives, escalation memos, and business review documents on behalf of the ML Capacity Delivery leadership team; produce clear, data-driven written communication for Director and VP audiences with no supervision.
- Serve as the primary coordination layer across stakeholders — including finance, recruiting, engineering, and technical program management — to resolve cross-functional dependencies, align on priorities, and drive decisions at pace.
- Identify gaps in organizational visibility; build and maintain reporting dashboards and scorecards that give leadership a real-time view of ML capacity delivery health, headcount, and program milestones.
- Lead the annual and mid-year headcount planning cycle for the ML Capacity Delivery organization; partner with finance and recruiting to translate demand signals into staffing plans with clear owners and milestones.
- Manage the leadership team's strategic calendar — sequence the right conversations at the right cadence, eliminate redundant forums, and protect senior leader time for high-leverage decisions.
- Mentor junior program managers on operating rigor, written communication standards, and stakeholder management; establish and codify best practices across the organization.
BASIC QUALIFICATIONS
- 6+ years of working cross functionally with tech and non-tech teams experience
- 5+ years of cross functional project delivery experience
- 5+ years of program or project management experience
- Experience defining program requirements and using data and metrics to determine improvements
PREFERRED QUALIFICATIONS
- Experience managing, analyzing and communicating results to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, VA, Herndon - 127,200.00 - 172,100.00 USD annually
USA, WA, Seattle - 127,200.00 - 172,100.00 USD annually
Machine Learning Engineer Job Roles in Virginia
See all 88+ Machine Learning Engineer Jobs in Virginia
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 VirginiaMachine Learning Engineer Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Virginia?
Northern Virginia is home to some of the most active sponsors for machine learning engineers in the country. Amazon Web Services, Capital One, Booz Allen Hamilton, Leidos, General Dynamics, and Freddie Mac have all filed H-1B visa Labor Condition Applications for ML engineer roles in Virginia. The federal contracting sector is particularly active, with many firms sponsoring engineers working on defense, intelligence, and cloud infrastructure projects.
Which visa types are most common for machine learning engineer roles in Virginia?
The H-1B is the most common visa for machine learning engineers in Virginia, as ML roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Some engineers, particularly those from Canada or Mexico, enter on TN visas under the computer systems analyst category. Candidates with extraordinary ability may pursue the O-1A, and those already in the U.S. on OPT or STEM OPT extension often seek H-1B sponsorship from Virginia employers.
Which cities in Virginia have the most machine learning engineer sponsorship jobs?
Northern Virginia dominates, with McLean, Reston, Arlington, and Tysons accounting for the large majority of ML engineering sponsorship activity in the state. This corridor benefits from proximity to federal agencies, major cloud regions, and a dense network of tech and defense contractors. Richmond has a smaller but growing presence, driven by Capital One's headquarters and expanding fintech activity. Remote-friendly roles based in Virginia also appear frequently given the state's strong broadband infrastructure.
How to find machine learning engineer visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search machine learning engineer roles in Virginia without sorting through positions that don't offer sponsorship. The platform surfaces openings from federal contractors, cloud companies, and financial services firms that are known H-1B sponsors in the state. Filtering by Virginia on Migrate Mate will show you active roles in Northern Virginia's tech corridor as well as Richmond-area opportunities.
Are there any Virginia-specific considerations for machine learning engineers seeking visa sponsorship?
Virginia's large federal contracting sector introduces a consideration specific to this state: many ML engineer roles require a U.S. security clearance, which is generally not accessible to non-U.S. citizens and permanent residents. This rules out a segment of Northern Virginia job postings for visa-sponsored candidates. However, commercial employers, financial services firms like Capital One and Freddie Mac, and non-clearance contractor roles remain fully accessible. Virginia also has a strong university pipeline through George Mason University and Virginia Tech, which feeds local STEM OPT talent into sponsoring employers.
What is the prevailing wage for sponsored machine learning engineer jobs in Virginia?
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.