Machine Learning Scientist Jobs in USA with Visa Sponsorship
Machine learning scientist roles consistently rank among the highest for H-1B visa sponsorship, with tech companies regularly filing petitions for ML engineers, research scientists, and AI specialists. The role's advanced degree requirements and specialized skillset align perfectly with specialty occupation criteria, making visa approval rates favorable for qualified candidates. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAt Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors - Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together - help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the team
Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
As part of the Machine Learning Science organization at Expedia Group, you'll help build a scalable, intelligent pricing system that directly shapes how we balance volume and profitability across multiple lines of business. The decisions this system drives influence billions of dollars in revenue, and the work is visible at the highest levels of the company.
As a Machine Learning Scientist III, you'll help define this system. You'll tackle end-to-end pricing problems alongside a sharp team of ML scientists, data scientists, engineers, product managers, and operations analysts. You will contribute to an area of active scientific research: causal inference, mixed integer programming, and ML-based demand estimation.
In this role, you will:
- Design, build, and improve ML models and systems that power Expedia Group products, with a focus on measurable business and customer impact
- Perform end-to-end model development, including problem formulation, data exploration, feature engineering, training, evaluation, and deployment in production environments
- Develop robust data pipelines, data transformations, and data quality checks to ensure high-quality input signals for ML models and experimentation
- Partner with product, engineering, and analytics teams to translate business problems into ML solutions, define success metrics, and run experiments to validate impact
- Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products
- Contribute to system design (including model-serving APIs and supporting data models), documentation, and best practices that enable reuse and scalability across multiple product domains
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field, or equivalent practical experience
- 5+ professional years of experience as a Machine Learning Scientist or in a similar applied ML role, working on end-to-end model development and deployment in real-world products
- Proficiency in at least one programming language commonly used for ML (such as Python) and experience working with data processing frameworks, model training libraries, and model evaluation techniques
- Experience owning ML components or services in production, including monitoring model performance, maintaining data pipelines, and collaborating with engineering teams on APIs and data models
Preferred Qualifications:
- Advanced degree (master’s or PhD) in a quantitative discipline (e.g., Engineering, Statistics, Economics, or related fields)
- Experience working on pricing, revenue optimization, marketplace dynamics, or similar business problems
- Experience designing and analyzing experiments (e.g., A/B testing) and working with noisy or incomplete data
- Experience building ML models using user behavior, segmentation, or contextual signals
- Familiarity with causal inference methods or optimization techniques (e.g., mixed-integer programming) in applied settings
The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Austin is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors - Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together - help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the team
Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
As part of the Machine Learning Science organization at Expedia Group, you'll help build a scalable, intelligent pricing system that directly shapes how we balance volume and profitability across multiple lines of business. The decisions this system drives influence billions of dollars in revenue, and the work is visible at the highest levels of the company.
As a Machine Learning Scientist III, you'll help define this system. You'll tackle end-to-end pricing problems alongside a sharp team of ML scientists, data scientists, engineers, product managers, and operations analysts. You will contribute to an area of active scientific research: causal inference, mixed integer programming, and ML-based demand estimation.
In this role, you will:
- Design, build, and improve ML models and systems that power Expedia Group products, with a focus on measurable business and customer impact
- Perform end-to-end model development, including problem formulation, data exploration, feature engineering, training, evaluation, and deployment in production environments
- Develop robust data pipelines, data transformations, and data quality checks to ensure high-quality input signals for ML models and experimentation
- Partner with product, engineering, and analytics teams to translate business problems into ML solutions, define success metrics, and run experiments to validate impact
- Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products
- Contribute to system design (including model-serving APIs and supporting data models), documentation, and best practices that enable reuse and scalability across multiple product domains
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field, or equivalent practical experience
- 5+ professional years of experience as a Machine Learning Scientist or in a similar applied ML role, working on end-to-end model development and deployment in real-world products
- Proficiency in at least one programming language commonly used for ML (such as Python) and experience working with data processing frameworks, model training libraries, and model evaluation techniques
- Experience owning ML components or services in production, including monitoring model performance, maintaining data pipelines, and collaborating with engineering teams on APIs and data models
Preferred Qualifications:
- Advanced degree (master’s or PhD) in a quantitative discipline (e.g., Engineering, Statistics, Economics, or related fields)
- Experience working on pricing, revenue optimization, marketplace dynamics, or similar business problems
- Experience designing and analyzing experiments (e.g., A/B testing) and working with noisy or incomplete data
- Experience building ML models using user behavior, segmentation, or contextual signals
- Familiarity with causal inference methods or optimization techniques (e.g., mixed-integer programming) in applied settings
The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Austin is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
See all 6,167+ Machine Learning Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Scientist roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Machine Learning Scientist
Target companies with active ML research divisions
Focus on employers like Google DeepMind, Microsoft Research, OpenAI, and Meta AI. These companies regularly sponsor visas for ML scientists and understand the specialized nature of the role.
Emphasize your advanced degree in a relevant field
Machine learning scientist positions typically require at least a master's degree in computer science, statistics, mathematics, or related field. PhD holders have stronger visa petition cases.
Highlight specialized ML frameworks and research experience
Document expertise in TensorFlow, PyTorch, scikit-learn, and published research. USCIS recognizes ML as a specialty occupation requiring specific technical knowledge and advanced training.
Consider both tech companies and research institutions
Universities, national labs, and research institutes also sponsor H-1B visas for ML scientists. These employers often have cap-exempt status, avoiding the annual lottery entirely.
Build a portfolio demonstrating real-world ML applications
Showcase projects involving deep learning, natural language processing, computer vision, or reinforcement learning. Concrete examples strengthen your specialty occupation case during the petition process.
Network through ML conferences and academic publications
Connect with potential sponsors at NeurIPS, ICML, or ICLR conferences. Co-authored papers with U.S. researchers can open doors to academic or industry positions.
Frequently Asked Questions
Do machine learning scientists qualify for H-1B specialty occupation requirements?
Yes, machine learning scientist roles consistently meet H-1B visa specialty occupation criteria. The position requires advanced knowledge in mathematics, statistics, computer science, and specialized ML frameworks. Most employers require at least a master's degree in a relevant field, and the role involves complex algorithm development that clearly demonstrates specialized expertise.
What degree fields qualify for machine learning scientist visa petitions?
Computer science, mathematics, statistics, electrical engineering, physics, and data science degrees typically qualify. The key is demonstrating how your coursework relates to machine learning fundamentals like linear algebra, probability theory, algorithms, and programming. A PhD in any of these fields significantly strengthens your petition case.
Are machine learning scientists eligible for cap-exempt H-1B positions?
Yes, if working for universities, affiliated research institutions, or nonprofit research organizations. Many academic ML positions are cap-exempt, meaning no lottery participation required. Private companies are generally cap-subject, but some have university affiliations that may qualify for exemptions.
How do ML scientists demonstrate extraordinary ability for O-1 visas?
O-1 visa criteria include published research papers, conference presentations, peer review activities, high-impact citations, and recognition awards. Leading ML research projects, developing novel algorithms, or contributing to widely-used frameworks can also demonstrate extraordinary ability in the field.
Can machine learning scientists transition from F-1 student status to work visas?
Yes, through OPT and STEM OPT extensions totaling up to 36 months. This provides time to find sponsoring employers and participate in H-1B lotteries. Many ML PhD students also transition directly to cap-exempt academic positions or receive National Interest Waiver green cards based on their research contributions.
How to find Machine Learning Scientist jobs with visa sponsorship?
To find Machine Learning Scientist positions with visa sponsorship, use Migrate Mate, which specializes in connecting international talent with sponsoring employers. Focus on tech companies, research institutions, and AI startups that commonly sponsor H-1B, O-1, or EB-2 visas for ML roles. These employers actively seek candidates with expertise in deep learning, neural networks, and data science to drive their AI initiatives.
What is the prevailing wage requirement for sponsored Machine Learning Scientist 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.