Green Card Machine Learning Scientist Jobs
Machine Learning Scientist roles qualify for EB-2 sponsorship when they require an advanced degree in computer science, statistics, or a related field, and for EB-3 when the position demands at least a bachelor's degree. Employers file a PERM labor certification with DOL before petitioning USCIS, making early sponsorship conversations essential.
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Get Access To All JobsINTRODUCTION
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Travel is a force for good. At Expedia Group (Expedia, Hotels.com, Vrbo, Travelocity, Orbitz, Wotif and others), it’s our mission to power global travel for everyone, everywhere, because we know that travel strengthens connections, broadens horizons, and bridges divides. Powered by more than 70+ terabytes of data and 20+ years of tech innovation, Expedia Group is one of the world’s largest travel platforms. With unrivaled knowledge of the industry and advanced tech innovation, we built a marketplace that allows us to filter through millions of different possibilities, for travelers and partners worldwide.
ROLE AND RESPONSIBILITIES
Travel platform pricing and monetization has critical impacts on the business health. The Machine Learning Science team is building a scalable and robust system to enable pricing as a lever to optimize business performance. The system should be steered based on desired outputs, such as a given tradeoff between volume and profit. Our work directly decides prices across different lines of business, influencing multi-billion dollar revenue.
As a Machine Learning Scientist III, you will research and build this pricing system. You will work on end-to-end pricing problems. You will collaborate with a strong team of machine learning scientists, data scientists, engineers, product managers, and operation analytics. You will contribute to an area of active scientific research: causal inference using machine learning methods, operations research and optimization, ML-based demand estimation, experiment design with spillovers. And this is an applied research role – your models will be deployed to our production systems, and your results will be measured objectively through AB testing.
In this role you will:
- Apply solid scientific skills, strong analytical and innovative thinking to quickly learn new domains and turn innovative ideas into working solutions
- Articulate technical solutions and plans to stakeholders based on detailed understanding of business requirements
- Research and implement scalable machine learning and data science solutions end to end with engineering rigor
- Follow the latest technology and research and be able to customize them to our problem space
- Design success metrics for both short-term and long-term performance
- Guide solutions using data insights based on deep understanding of business domains
- Collaborate with other machine learning and data science teams to build a great data science culture in Expedia Group
BASIC QUALIFICATIONS
Experience & Qualifications:
- 3+ years industry experience and an advanced degree (PhD preferred) in a quantitative field, such as Statistics, Operations Research, Economics, Computer Science, or equivalent quantitative fields
- Expert in one or multiple areas of machine learning, causal inference, and operations research
- Comfortable to analyze complicated data sets to generate insights to guide effective solution development
- Passion for solving exciting and meaningful real-world problems using principled techniques and practices
- Focus on problem solving with pragmatical methods
- Understanding of modern machine learning and data science techniques and their mathematical underpinning
- Ability to communicate clearly and effectively to cross functional partners of varying technical levels
- Collaborates well in a team and sensitive to clients' needs, while developing warm relationships and building trust with stakeholders
- Proficiency in one of the tools such as Python, Scala, etc
- Proficiency with big data ecosystem (Hadoop/Spark)
- Experience in pricing is a plus
- Experience with large scale marketplace experiment design and analysis is a plus
COMPENSATION
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.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
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.
INTRODUCTION
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Travel is a force for good. At Expedia Group (Expedia, Hotels.com, Vrbo, Travelocity, Orbitz, Wotif and others), it’s our mission to power global travel for everyone, everywhere, because we know that travel strengthens connections, broadens horizons, and bridges divides. Powered by more than 70+ terabytes of data and 20+ years of tech innovation, Expedia Group is one of the world’s largest travel platforms. With unrivaled knowledge of the industry and advanced tech innovation, we built a marketplace that allows us to filter through millions of different possibilities, for travelers and partners worldwide.
ROLE AND RESPONSIBILITIES
Travel platform pricing and monetization has critical impacts on the business health. The Machine Learning Science team is building a scalable and robust system to enable pricing as a lever to optimize business performance. The system should be steered based on desired outputs, such as a given tradeoff between volume and profit. Our work directly decides prices across different lines of business, influencing multi-billion dollar revenue.
As a Machine Learning Scientist III, you will research and build this pricing system. You will work on end-to-end pricing problems. You will collaborate with a strong team of machine learning scientists, data scientists, engineers, product managers, and operation analytics. You will contribute to an area of active scientific research: causal inference using machine learning methods, operations research and optimization, ML-based demand estimation, experiment design with spillovers. And this is an applied research role – your models will be deployed to our production systems, and your results will be measured objectively through AB testing.
In this role you will:
- Apply solid scientific skills, strong analytical and innovative thinking to quickly learn new domains and turn innovative ideas into working solutions
- Articulate technical solutions and plans to stakeholders based on detailed understanding of business requirements
- Research and implement scalable machine learning and data science solutions end to end with engineering rigor
- Follow the latest technology and research and be able to customize them to our problem space
- Design success metrics for both short-term and long-term performance
- Guide solutions using data insights based on deep understanding of business domains
- Collaborate with other machine learning and data science teams to build a great data science culture in Expedia Group
BASIC QUALIFICATIONS
Experience & Qualifications:
- 3+ years industry experience and an advanced degree (PhD preferred) in a quantitative field, such as Statistics, Operations Research, Economics, Computer Science, or equivalent quantitative fields
- Expert in one or multiple areas of machine learning, causal inference, and operations research
- Comfortable to analyze complicated data sets to generate insights to guide effective solution development
- Passion for solving exciting and meaningful real-world problems using principled techniques and practices
- Focus on problem solving with pragmatical methods
- Understanding of modern machine learning and data science techniques and their mathematical underpinning
- Ability to communicate clearly and effectively to cross functional partners of varying technical levels
- Collaborates well in a team and sensitive to clients' needs, while developing warm relationships and building trust with stakeholders
- Proficiency in one of the tools such as Python, Scala, etc
- Proficiency with big data ecosystem (Hadoop/Spark)
- Experience in pricing is a plus
- Experience with large scale marketplace experiment design and analysis is a plus
COMPENSATION
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.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
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 911+ Green Card Machine Learning Scientist Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Machine Learning Scientist
Document your research output before applying
PERM requires employers to demonstrate no qualified U.S. worker is available. Published papers, patents, or conference presentations strengthen your EB-2 petition by showing specialized expertise that generic candidates cannot replicate.
Target employers with dedicated immigration programs
Companies that run internal ML research labs and regularly sponsor green cards already have outside counsel and PERM workflows in place. Use Migrate Mate to filter for Machine Learning Scientist roles at employers with active EB-2 and EB-3 filing history.
Clarify the degree field requirement before the offer stage
PERM job requirements lock in the minimum degree field. If the posted role requires computer science but your degree is in applied mathematics, confirm with the hiring team that equivalent fields are acceptable before DOL certifies the labor condition.
Ask about concurrent I-140 and I-485 filing eligibility
If a visa number is immediately available for your country and category, your employer can file the I-140 immigrant petition and your I-485 adjustment of status application at the same time, cutting months off your path to permanent residency.
Verify prevailing wage tier before negotiating salary
DOL's OFLC Wage Search maps Machine Learning Scientist roles to specific wage levels by location. Your offered salary must meet or exceed the certified prevailing wage, so check the applicable tier early to avoid a PERM amendment after the offer is signed.
Check O*NET alignment when the job title varies
Employers use different titles for ML research roles. O*NET classifies Machine Learning Scientists under a specific Standard Occupational Classification code, which DOL uses for wage determinations. Confirm the SOC code on your PERM application matches your actual duties.
Green Card Machine Learning Scientist: Frequently Asked Questions
Does a Machine Learning Scientist role qualify for EB-2 or EB-3 sponsorship?
Most Machine Learning Scientist positions qualify for EB-2 because employers typically require a master's degree or PhD in computer science, statistics, or a related field. If the job description accepts a bachelor's degree with several years of experience, EB-3 professional sponsorship may apply instead. The degree requirement written into the PERM application determines the category, so the job posting language matters.
How does green card sponsorship differ from H-1B for this role?
H-1B visa is a temporary status capped at 85,000 new slots per year and subject to an annual lottery. EB-2 and EB-3 green card sponsorship has no annual lottery and leads to permanent residency, though the PERM labor certification process adds six to twelve months before USCIS even reviews the I-140 petition. For most nationalities outside India and China, priority dates are current, meaning the overall timeline to a green card can be comparable to waiting for H-1B approval.
How long does the PERM process take for a Machine Learning Scientist position?
DOL currently processes standard PERM applications in roughly six to twelve months, though audit-selected cases take longer. Before filing, the employer must complete supervised recruitment, including job postings and candidate review, which typically adds sixty to ninety days. From PERM certification to an approved I-140 at USCIS adds another three to six months under standard processing, or as little as fifteen business days with premium processing.
Can I negotiate my job offer while a green card is being sponsored?
You can negotiate salary before the PERM application is filed, but once DOL certifies the labor condition the offered wage is locked as the floor. Promotions or title changes after PERM certification can trigger an amendment or a new filing. Raises above the certified wage are fine. Discuss the sponsorship timeline with your employer before signing so you understand which terms are fixed once the DOL filing is submitted.
Where can I find Machine Learning Scientist jobs that already offer green card sponsorship?
Migrate Mate lets you search specifically for Machine Learning Scientist roles at employers with documented EB-2 and EB-3 filing history, so you're not guessing about sponsorship willingness during the interview process. Filtering by sponsorship type upfront saves weeks of back-and-forth with recruiters at companies that don't have immigration programs in place.