ML Engineer Visa Sponsorship Jobs in Virginia
Virginia is one of the strongest states for ML engineer visa sponsorship, anchored by a dense cluster of defense contractors, federal agencies, and technology firms in Northern Virginia. Companies like Booz Allen Hamilton, Leidos, Amazon Web Services, and Capital One actively hire ML engineers and have established visa sponsorship programs.
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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
ML Engineer Job Roles in Virginia
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Search ML Engineer Jobs in VirginiaML Engineer Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Virginia?
Northern Virginia is home to some of the most active ML engineer sponsors in the country. Amazon Web Services, Capital One, Booz Allen Hamilton, Leidos, Freddie Mac, and Palo Alto Networks all have H-1B visa sponsorship history for ML engineering roles. The dense concentration of defense technology and cloud computing firms in the DC metro corridor creates consistent demand for sponsored ML talent year over year.
Which visa types are most common for ML engineer roles in Virginia?
The H-1B is the most common visa category for ML engineers in Virginia, 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 or PhD may benefit from the advanced degree cap exemption during the H-1B lottery. Some employers, particularly large tech and defense contractors, also support O-1A petitions for ML engineers with demonstrated exceptional contributions.
Which cities in Virginia have the most ML engineer sponsorship jobs?
Northern Virginia, particularly the cities of Arlington, Reston, McLean, and Herndon, concentrates the vast majority of ML engineer sponsorship opportunities in the state. This corridor sits adjacent to Washington DC and hosts major cloud infrastructure, cybersecurity, and federal contracting employers. Richmond has a growing fintech and analytics presence, with Capital One headquartered there, making it a secondary market worth watching for ML engineering roles.
How to find ml engineer visa sponsorship jobs in Virginia?
Migrate Mate filters ML engineer jobs specifically by visa sponsorship availability, saving you from manually screening hundreds of postings. For Virginia, focus your search on Northern Virginia employers in cloud computing, defense technology, and financial services, as these sectors sponsor most consistently. Migrate Mate lets you browse active ML engineer openings in Virginia and identify which employers have established sponsorship programs, which is especially useful if you are on OPT or awaiting an H-1B.
Are there any Virginia-specific considerations for ML engineers seeking visa sponsorship?
Virginia's proximity to federal agencies means many ML engineering roles require security clearances, which are generally not available to visa holders who are not permanent residents or citizens. This narrows the sponsorship pool compared to states like California or Washington. That said, the commercial tech sector in Northern Virginia, including AWS, fintech firms, and private cybersecurity companies, hires sponsored ML engineers without clearance requirements. University pipelines from Virginia Tech, George Mason, and University of Virginia feed strong ML talent into the local market.
What is the prevailing wage for sponsored ml 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.