Natural Language Processing Jobs in USA with Visa Sponsorship
Natural language processing roles attract strong H-1B visa sponsorship from tech employers because the work requires a highly specific graduate-level background. Most NLP positions qualify as specialty occupations, making visa approval rates relatively high for candidates with the right credentials. For detailed occupation requirements, see the O*NET profile.
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At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed. We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees. The Chief Data & Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges. By ensuring data quality and leveraging insights, the CDAO supports our commercial goals, enhancing productivity and risk management through AI and machine learning. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Machine Learning Scientist – Natural Language Processing (NLP) - Vice President in the Machine Learning Center of Excellence, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. Acting as a leading voice within JPMC on all things Generative AI (GenAI), you will partner closely with all lines of business to innovate new solutions that drive transformational change for the bank. You will actively participate in our knowledge sharing community, representing your work inside and outside of the firm at leading industry conferences amongst peers and leaders in the space. We seek someone who excels in a highly collaborative, fast-paced environment, and holds a strong passion for machine learning to make a significant impact at a leading global financial institution.
Responsibilities
- Research and develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks involving Generative AI (GenAI)
- Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact
- Drive cross-functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production
- Lead firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
Required Qualifications, Capabilities, And Skills
- PhD in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with at least 3 years of experience OR an MS with at least 5 years of industry or research experience in the field
- Solid background in Generative AI (GenAI) and hands-on experience and solid understanding of machine learning and deep learning methods and toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
Preferred Qualifications, Capabilities, And Skills
- Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development
- Knowledge in search/ranking or Meta Learning
- Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large-scale distributed environment, and ability to develop and debug production-quality code
- Published research in areas of Machine Learning or Deep Learning at a major conference or journal
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Job Description
At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed. We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees. The Chief Data & Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges. By ensuring data quality and leveraging insights, the CDAO supports our commercial goals, enhancing productivity and risk management through AI and machine learning. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Machine Learning Scientist – Natural Language Processing (NLP) - Vice President in the Machine Learning Center of Excellence, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. Acting as a leading voice within JPMC on all things Generative AI (GenAI), you will partner closely with all lines of business to innovate new solutions that drive transformational change for the bank. You will actively participate in our knowledge sharing community, representing your work inside and outside of the firm at leading industry conferences amongst peers and leaders in the space. We seek someone who excels in a highly collaborative, fast-paced environment, and holds a strong passion for machine learning to make a significant impact at a leading global financial institution.
Responsibilities
- Research and develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks involving Generative AI (GenAI)
- Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact
- Drive cross-functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production
- Lead firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
Required Qualifications, Capabilities, And Skills
- PhD in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with at least 3 years of experience OR an MS with at least 5 years of industry or research experience in the field
- Solid background in Generative AI (GenAI) and hands-on experience and solid understanding of machine learning and deep learning methods and toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
Preferred Qualifications, Capabilities, And Skills
- Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development
- Knowledge in search/ranking or Meta Learning
- Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large-scale distributed environment, and ability to develop and debug production-quality code
- Published research in areas of Machine Learning or Deep Learning at a major conference or journal
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See all 19,544+ Natural Language Processing Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Natural Language Processing roles.
Get Access To All JobsTips for Finding Natural Language Processing Jobs
Target employers with active NLP research teams
Companies running dedicated NLP or AI research divisions file LCAs and H-1B petitions regularly. Established sponsorship infrastructure means faster processing and fewer administrative hurdles compared to employers sponsoring their first technical hire.
Emphasize your graduate-level specialization
NLP roles almost universally require a master's or PhD in computational linguistics, computer science, or a related field. Highlighting thesis work, publications, or specialized coursework strengthens your specialty occupation case and makes sponsorship approval more straightforward.
Align your resume to the LCA job description
Your employer files a Labor Condition Application before sponsoring you. The job duties on that LCA must match your actual role closely. Review the job description carefully and ensure your resume reflects the specific NLP skills and responsibilities listed.
Ask about cap-exempt employer options
Universities, nonprofit research institutions, and government-affiliated labs are exempt from the H-1B lottery cap. NLP researchers at these organizations can receive sponsorship year-round, without waiting for the annual April registration window.
Use OPT STEM extension time strategically
NLP qualifies under CIP codes that support the 24-month STEM OPT extension, giving you up to three years of work authorization post-graduation. Use that window to build a sponsorship track record and improve your H-1B lottery odds.
Document your technical contributions clearly
USCIS scrutinizes NLP roles that sound generalist. Petitions supported by specific project outputs, model benchmarks, or published research demonstrate the specialized nature of the work and reduce the risk of a Request for Evidence.
Frequently Asked Questions
Do NLP jobs qualify as H-1B specialty occupations?
Yes. NLP roles consistently qualify as specialty occupations because they require at minimum a bachelor's degree in a specific technical field, usually computer science, computational linguistics, or artificial intelligence. Most employers require a master's or PhD, which strengthens the specialty occupation argument further and reduces the likelihood of a Request for Evidence from USCIS.
What degree do I need for visa sponsorship in NLP?
Most employers sponsoring NLP roles require a master's degree or PhD in computer science, computational linguistics, artificial intelligence, or a closely related field. A bachelor's degree alone is rarely sufficient for research-focused positions. If your degree title differs from the job field, coursework transcripts and a credential evaluation can help establish equivalency for the H-1B visa petition.
How can I find NLP jobs that offer visa sponsorship?
Migrate Mate is built specifically for international candidates and filters for employers who actively sponsor work visas. Searching NLP roles on Migrate Mate surfaces positions where sponsorship is confirmed, saving you from applying to employers who won't support an H-1B or other visa petition.
Are there visa options for NLP candidates who don't win the H-1B lottery?
Yes. NLP researchers with a strong publication record or recognized industry contributions may qualify for the O-1A visa, which has no lottery and no annual cap. Cap-exempt employers, including universities and nonprofit research labs, can also sponsor H-1B petitions year-round. Australians in NLP roles have access to the E-3 visa, which is also lottery-free.
How likely is it that an NLP H-1B petition gets approved?
Approval rates for NLP petitions are relatively high compared to more generalist tech roles because the specialty occupation argument is well-supported by degree requirements and the technical specificity of the work. Petitions filed with detailed job duty descriptions and strong educational credentials are less likely to receive a Request for Evidence. Employers with prior NLP sponsorship experience typically know how to structure petitions effectively.
What is the prevailing wage requirement for sponsored Natural Language Processing jobs?
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.