ML Software Engineer Visa Sponsorship Jobs in Washington DC
Washington DC's ML software engineer job market is anchored by federal agencies, defense contractors, and tech-forward organizations like Booz Allen Hamilton, Leidos, and Palantir. Demand spans national security AI, health informatics, and policy analytics. Many employers here sponsor H-1B and O-1 visas for qualified ML engineers, making DC a competitive but opportunity-rich destination.
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Get Access To All JobsINTRODUCTION
Meta is seeking talented experienced engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
ROLE AND RESPONSIBILITIES
Software Engineer, Machine Learning Responsibilities:
- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
- Implement custom user interfaces using latest programming techniques and technologies
- Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
- Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
- Architect efficient and scalable systems that drive complex applications
- Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
- Work on a variety of coding languages and technologies
- Establish ownership of components, features, or systems with expert end-to-end understanding
MINIMUM QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
- Demonstrated experience driving change within an organization and leading complex technical projects
- Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
PREFERRED QUALIFICATIONS
- Masters degree or PhD in Computer Science or a related technical field
- Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
- Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
- Understanding of information retrieval concepts, such as indexing, querying, and ranking
- Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
ABOUT META
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law.
Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $88.46/hour to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
INTRODUCTION
Meta is seeking talented experienced engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
ROLE AND RESPONSIBILITIES
Software Engineer, Machine Learning Responsibilities:
- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
- Implement custom user interfaces using latest programming techniques and technologies
- Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
- Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
- Architect efficient and scalable systems that drive complex applications
- Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
- Work on a variety of coding languages and technologies
- Establish ownership of components, features, or systems with expert end-to-end understanding
MINIMUM QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
- Demonstrated experience driving change within an organization and leading complex technical projects
- Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
PREFERRED QUALIFICATIONS
- Masters degree or PhD in Computer Science or a related technical field
- Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
- Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
- Understanding of information retrieval concepts, such as indexing, querying, and ranking
- Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
ABOUT META
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law.
Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $88.46/hour to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
ML Software Engineer Job Roles in Washington DC
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Search ML Software Engineer Jobs in Washington DCML Software Engineer Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in Washington DC?
Federal contractors and consulting firms dominate ML hiring in DC, with Booz Allen Hamilton, Leidos, SAIC, Deloitte, and Accenture Federal Services among the most active sponsors. Tech companies with DC offices, including Amazon Web Services and Microsoft, also file H-1B petitions for ML engineers. Many roles support government AI initiatives, so clearance compatibility often factors into hiring decisions alongside sponsorship.
Which visa types are most common for ML software engineer roles in Washington DC?
The H-1B is the most common visa for ML software engineers in DC, as machine learning roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science or a related field. The O-1A is an option for engineers with published research, patents, or notable conference presentations. Some positions at international organizations may involve J-1 status, though employer sponsorship still requires a qualifying petition.
How to find ml software engineer visa sponsorship jobs in Washington DC?
Migrate Mate filters ML software engineer job listings specifically by visa sponsorship availability and location, making it straightforward to identify Washington DC employers actively willing to sponsor. Rather than sifting through general postings, you can browse roles already tagged for sponsorship in the DC area, covering contractors, tech firms, and research institutions that regularly hire international ML engineers.
Which areas in Washington DC have the most ML software engineer sponsorship jobs?
Most ML software engineer sponsorship activity in the DC region concentrates in the broader National Capital Area rather than the District itself. Tysons Corner and Reston in Northern Virginia host major contractor and tech employer campuses. Bethesda and Rockville in Maryland attract health-focused ML work tied to NIH and FDA proximity. The District proper sees demand from think tanks, policy organizations, and agencies with civilian AI programs.
Are there any DC-specific considerations for ML software engineers seeking visa sponsorship?
A significant portion of ML engineering roles in DC support federal clients, which can require a security clearance. Clearance eligibility is generally restricted to U.S. citizens and permanent residents, meaning international candidates on H-1B status may find some positions out of reach. Focusing on commercial divisions of large contractors, or on private-sector tech employers with DC offices, typically opens more sponsorship-eligible opportunities for ML engineers without clearance.
What is the prevailing wage for sponsored ml software 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.
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