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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Get Access To All JobsINTRODUCTION
New US based .NET team tasked with making an existing, modern platform utilize Microsoft's latest suite of enterprise AI tools and services.
This Jobot Job is hosted by: Charles Simmons
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary: $140,000 - $180,000 per year
A bit about us:
We’re transforming how government agencies digitize forms and automate workflows. Our new initiative brings AI directly into this process - using LLMs, vector search, and structured PDF parsing to accelerate public service delivery. We’re not just bolting AI onto the side. It’s becoming core to how our platform works. We’re looking for a senior machine learning engineer to take the lead on this effort. You’ll be the architect of our AI capability - not just a contributor. Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately. This isn’t an R&D team running experiments - it’s about delivering intelligent automation, right now.
WHY JOIN US?
- 100% remote based in the US
- Help shape the AI transformation of public sector services
- Lead initiatives that ship real impact, not just prototypes
- Greenfield development on a proven, profitable platform
- Comprehensive Health, Vision, Dental coverage for individuals and families
JOB DETAILS
You’ll design and build our machine learning infrastructure - starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops. You’ll work across product and engineering to embed intelligent behaviors into our no-code form builder. This is not a research job or a sandbox role - it’s a real opportunity to push AI into production at scale.
WHAT YOU’LL DO
- Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search
- Design prompt strategies and agents to translate parsed PDF data into form component schemas
- Fine-tune LLMs for structured output generation with low-latency performance in mind
- Lead the development of an RLHF loop that incorporates builder UI feedback and audit data
- Help architect systems that blend traditional APIs and probabilistic inference reliably
- Work alongside full-stack and platform engineers to get it all running in production
- Stay plugged into the latest model capabilities, and make smart calls on what to adopt
TECH YOU’LL USE
- Azure AI Studio, Azure OpenAI, GPT-4o
- Python (for agents, functions, orchestration), .NET 8 (for integration layers)
- Azure AI Search, CosmosDB, MSSQL
- Kubernetes (AKS), Azure Blob, Octopus for CI/CD
- Extend.ai for structured PDF parsing
WHAT WE’RE LOOKING FOR
- 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering
- Strong Python skills and familiarity with production-grade ML pipelines
- Experience designing and tuning RAG workflows with hybrid search
- Familiarity with RLHF and fine-tuning on structured JSON output
- Solid grasp of system-level thinking—how to bring ML into product environments cleanly
NICE TO HAVE:
.NET understanding, especially for integration and orchestration layers
WHAT SUCCESS LOOKS LIKE IN 6 MONTHS
- You’ve shipped a working vector search + RAG pipeline integrated into our form builder
- You’ve scoped and kicked off our first LLM fine-tuning cycle
- We’re collecting human feedback to improve model accuracy
- You’ve helped define the roadmap for AI integrations across the platform
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
WANT TO LEARN MORE ABOUT THIS ROLE AND JOBOT?
Click our Jobot logo and follow our LinkedIn page!
INTRODUCTION
New US based .NET team tasked with making an existing, modern platform utilize Microsoft's latest suite of enterprise AI tools and services.
This Jobot Job is hosted by: Charles Simmons
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary: $140,000 - $180,000 per year
A bit about us:
We’re transforming how government agencies digitize forms and automate workflows. Our new initiative brings AI directly into this process - using LLMs, vector search, and structured PDF parsing to accelerate public service delivery. We’re not just bolting AI onto the side. It’s becoming core to how our platform works. We’re looking for a senior machine learning engineer to take the lead on this effort. You’ll be the architect of our AI capability - not just a contributor. Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately. This isn’t an R&D team running experiments - it’s about delivering intelligent automation, right now.
WHY JOIN US?
- 100% remote based in the US
- Help shape the AI transformation of public sector services
- Lead initiatives that ship real impact, not just prototypes
- Greenfield development on a proven, profitable platform
- Comprehensive Health, Vision, Dental coverage for individuals and families
JOB DETAILS
You’ll design and build our machine learning infrastructure - starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops. You’ll work across product and engineering to embed intelligent behaviors into our no-code form builder. This is not a research job or a sandbox role - it’s a real opportunity to push AI into production at scale.
WHAT YOU’LL DO
- Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search
- Design prompt strategies and agents to translate parsed PDF data into form component schemas
- Fine-tune LLMs for structured output generation with low-latency performance in mind
- Lead the development of an RLHF loop that incorporates builder UI feedback and audit data
- Help architect systems that blend traditional APIs and probabilistic inference reliably
- Work alongside full-stack and platform engineers to get it all running in production
- Stay plugged into the latest model capabilities, and make smart calls on what to adopt
TECH YOU’LL USE
- Azure AI Studio, Azure OpenAI, GPT-4o
- Python (for agents, functions, orchestration), .NET 8 (for integration layers)
- Azure AI Search, CosmosDB, MSSQL
- Kubernetes (AKS), Azure Blob, Octopus for CI/CD
- Extend.ai for structured PDF parsing
WHAT WE’RE LOOKING FOR
- 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering
- Strong Python skills and familiarity with production-grade ML pipelines
- Experience designing and tuning RAG workflows with hybrid search
- Familiarity with RLHF and fine-tuning on structured JSON output
- Solid grasp of system-level thinking—how to bring ML into product environments cleanly
NICE TO HAVE:
.NET understanding, especially for integration and orchestration layers
WHAT SUCCESS LOOKS LIKE IN 6 MONTHS
- You’ve shipped a working vector search + RAG pipeline integrated into our form builder
- You’ve scoped and kicked off our first LLM fine-tuning cycle
- We’re collecting human feedback to improve model accuracy
- You’ve helped define the roadmap for AI integrations across the platform
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
WANT TO LEARN MORE ABOUT THIS ROLE AND JOBOT?
Click our Jobot logo and follow our LinkedIn page!
ML Engineer Job Roles in Virginia
See all 86+ ML Engineer Jobs 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 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.
See which ml engineer employers are hiring and sponsoring visas in Virginia right now.
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