Machine Learning Visa Sponsorship Jobs in Virginia
Virginia is one of the strongest states for machine learning visa sponsorship, anchored by the federal technology corridor in Northern Virginia and the AWS, Booz Allen Hamilton, and Leidos presence around Arlington and Tysons. Defense contractors, cloud infrastructure firms, and government IT consultancies drive consistent ML hiring across the state.
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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
Machine Learning Job Roles in Virginia
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Search Machine Learning Jobs in VirginiaMachine Learning Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Virginia?
Major sponsors include Amazon Web Services (headquartered in Arlington), Booz Allen Hamilton, Leidos, Capital One, and General Dynamics IT. Microsoft and Northrop Grumman also have significant Virginia footprints. Defense and intelligence contractors dominate the state's ML hiring, though financial services firms like Capital One have grown their ML engineering teams substantially in the McLean area.
Which visa types are most common for machine learning roles in Virginia?
The H-1B visa is the most common visa for machine learning professionals in Virginia, given that ML engineer and data scientist roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Some employers also sponsor O-1A visas for candidates with published research or notable technical achievements. OPT and STEM OPT are common entry points before full H-1B sponsorship.
Which cities in Virginia have the most machine learning sponsorship jobs?
Northern Virginia, particularly Arlington, McLean, Reston, and Tysons, accounts for the majority of ML sponsorship activity in the state, driven by the federal technology corridor and AWS's headquarters. Richmond has a growing ML presence, largely in financial services and healthcare IT. Charlottesville sees some activity tied to the University of Virginia's research ecosystem, though at much smaller volume than Northern Virginia.
How to find machine learning visa sponsorship jobs in Virginia?
Migrate Mate is built specifically for international candidates seeking visa sponsorship, so you can filter directly for machine learning roles in Virginia without sorting through listings from employers who won't sponsor. Virginia's ML market skews heavily toward defense contractors and cloud infrastructure companies, so filtering by industry on Migrate Mate helps identify which employers are actively sponsoring rather than those with occasional openings.
Are there state-specific factors that affect machine learning visa sponsorship in Virginia?
Virginia's concentration of defense and intelligence contractors creates a notable consideration: many ML roles require U.S. security clearances, which visa holders are generally ineligible to obtain. This limits the share of Virginia ML jobs that are realistically open to sponsored candidates compared to states with broader commercial tech sectors. Focusing on commercial employers like AWS, Capital One, and mid-sized software firms in Northern Virginia significantly improves practical access to sponsorship-eligible roles.
What is the prevailing wage for sponsored machine learning 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.