ML Engineer Visa Sponsorship Jobs in Washington DC
Washington DC's ML engineer job market is anchored by federal agencies, defense contractors, and consulting firms including Booz Allen Hamilton, Leidos, and Palantir. Many roles require security clearances, which affects sponsorship availability. The broader metro area, including Northern Virginia's tech corridor, offers the highest concentration of ML engineering positions with visa sponsorship.
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Get Access To All JobsCompany Description
Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare – perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
- Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
- Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
- Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
- Dare to innovate: We challenge the status quo with creativity and innovation as our true north.
- Better together: We check our egos at the door. We work together, so we win together.
Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at acommodations@pressganey.com. Please provide your contact information and the details of your request so we can best assist you.
ROLE AND RESPONSIBILITIES
Press Ganey is looking for a passionate and entrepreneurial Machine Learning Data Scientist III – Conversational AI to join our AI Solutions team. The AI Solutions team is focused on developing and supporting the latest AI innovations in experience intelligence from agentic text analytics to conversational interfaces to data.
You will
- Design, Develop, and evaluate Conversational AI Agents
- Work closely with AI Scientists and ML Engineers to imagine, design, and develop various Machine Learning and Generative AI products
- Leverage your Conversational AI experience to ensure alignment with current State-of-the-Art best practices throughout AI & Machine Learning team
- Work closely with Responsible AI & Model Validation Center of Excellence to support ethical development of AI Agents
BASIC QUALIFICATIONS
You have
- Master's degree in Computer Science, Artificial Intelligence, or related field
- 5+ years of professional experience in Applied Research and/or Software Engineering
- Proven experience in Conversational AI / Dialogue Systems using Generative AI methods such as RAG, Deep Research Agents, Chain-of-Thought, Multi-agent architectures, etc.
- Proven experience with Generative AI toolkits and standards such as LangChain, LangGraph, MCP, ADK, A2A, etc.
- Strong understanding of Machine Learning, NLP, and Generative AI
- Excellent communication and cross-team collaboration skills
PREFERRED QUALIFICATIONS
- PhD in Computer Science, Artificial Intelligence, or related field
- Familiarity with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Databricks.
- Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like Azure, AWS, or GCP.
- Involvement in Conversational AI research community
ADDITIONAL INFORMATION FOR US BASED JOBS
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/
Company Description
Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare – perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
- Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
- Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
- Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
- Dare to innovate: We challenge the status quo with creativity and innovation as our true north.
- Better together: We check our egos at the door. We work together, so we win together.
Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at acommodations@pressganey.com. Please provide your contact information and the details of your request so we can best assist you.
ROLE AND RESPONSIBILITIES
Press Ganey is looking for a passionate and entrepreneurial Machine Learning Data Scientist III – Conversational AI to join our AI Solutions team. The AI Solutions team is focused on developing and supporting the latest AI innovations in experience intelligence from agentic text analytics to conversational interfaces to data.
You will
- Design, Develop, and evaluate Conversational AI Agents
- Work closely with AI Scientists and ML Engineers to imagine, design, and develop various Machine Learning and Generative AI products
- Leverage your Conversational AI experience to ensure alignment with current State-of-the-Art best practices throughout AI & Machine Learning team
- Work closely with Responsible AI & Model Validation Center of Excellence to support ethical development of AI Agents
BASIC QUALIFICATIONS
You have
- Master's degree in Computer Science, Artificial Intelligence, or related field
- 5+ years of professional experience in Applied Research and/or Software Engineering
- Proven experience in Conversational AI / Dialogue Systems using Generative AI methods such as RAG, Deep Research Agents, Chain-of-Thought, Multi-agent architectures, etc.
- Proven experience with Generative AI toolkits and standards such as LangChain, LangGraph, MCP, ADK, A2A, etc.
- Strong understanding of Machine Learning, NLP, and Generative AI
- Excellent communication and cross-team collaboration skills
PREFERRED QUALIFICATIONS
- PhD in Computer Science, Artificial Intelligence, or related field
- Familiarity with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Databricks.
- Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like Azure, AWS, or GCP.
- Involvement in Conversational AI research community
ADDITIONAL INFORMATION FOR US BASED JOBS
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/
ML Engineer Job Roles in Washington DC
See all 130+ ML Engineer Jobs in Washington DC
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Search ML Engineer Jobs in Washington DCML Engineer Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Washington DC?
Booz Allen Hamilton, Leidos, CACI International, Palantir, and Amazon Web Services have all filed H-1B visa petitions for ML engineering roles in the DC metro area. Consulting firms like Accenture and Deloitte Federal also sponsor ML engineers regularly. Note that roles tied to federal contracts often require security clearances, which can limit sponsorship eligibility for international candidates.
Which visa types are most common for ML engineer roles in Washington DC?
The H-1B is the most common visa for ML engineers in DC, 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 degree from a U.S. university may benefit from the advanced degree exemption in the H-1B lottery. L-1B visas are also used by multinational firms transferring ML specialists into DC offices.
Which areas in Washington DC have the most ML engineer sponsorship jobs?
Most ML engineering sponsorship activity in the DC area is concentrated in Northern Virginia, particularly Tysons Corner, Reston, and Arlington, which form the region's primary technology corridor. Downtown DC itself hosts federal agency contractors and policy-adjacent tech firms. Maryland suburbs like Bethesda and Rockville also have a notable presence, particularly in health data and biotech ML applications.
How to find ml engineer visa sponsorship jobs in Washington DC?
Migrate Mate filters ML engineer jobs in Washington DC specifically by visa sponsorship availability, so you're not manually screening hundreds of listings. The platform surfaces roles from contractors, tech firms, and consulting companies in the DC metro that have a documented history of sponsoring H-1B and other work visas for ML engineering positions. It's a practical starting point for international candidates targeting this market.
Are there any DC-specific considerations for ML engineers seeking visa sponsorship?
The DC metro market is heavily shaped by federal contracting, and many ML roles require active security clearances or at minimum U.S. persons eligibility, which excludes most visa holders. Candidates should prioritize commercial-sector employers or contractors with dedicated commercial divisions. University pipelines from Georgetown, George Mason, and the University of Maryland supply strong local talent networks and occasionally lead to OPT-to-sponsorship pathways.
What is the prevailing wage for sponsored ml 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.