E-3 Visa Machine Learning Scientist Jobs
Machine Learning Scientist roles qualify for E-3 visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. The E-3 has no lottery and no annual cap, so Australian nationals can pursue U.S. positions year-round without competing for limited slots the way H-1B visa applicants do.
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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 555+ E-3 Visa Machine Learning Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Machine Learning Scientist Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Machine Learning Scientist
Frame your research portfolio for U.S. specialty occupation standards
DOL requires your role to meet specialty occupation criteria, meaning a specific degree field must be normal for the position. Document how your ML research, publications, or graduate work maps to a defined technical discipline, not just general data science experience.
Target employers with active LCA filing history in ML
Companies that have previously certified LCAs for machine learning or AI research roles already understand the E-3 visa process. Searching DOL's Foreign Labor Certification disclosure data by SOC code 15-2051 surfaces employers who have filed for similar positions before.
Find Machine Learning Scientist roles using Migrate Mate
Migrate Mate filters job listings by E-3 sponsorship eligibility, so you're not cold-applying to employers unfamiliar with Australian visa requirements. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork once you have an offer.
Clarify your employer's LCA wage level before signing
DOL prevailing wage determinations for ML Scientists vary significantly by level. Confirm that your offered wage meets at least Level II requirements for your metro area before your employer submits the LCA, since a deficient wage certification will block your visa application.
Distinguish your PhD or honours research from general engineering work
Consular officers assess whether the offered role genuinely requires a specialist degree. If your background is research-heavy, bring documentation of published work, conference presentations, or specialised methods that separate the position from a standard software engineering role.
Time your consulate appointment around your employer's LCA certification
The E-3 consular application cannot proceed until your employer's LCA is certified by DOL, which currently averages around seven business days. Build that window into your start date negotiation so your visa appointment isn't scheduled before the certified LCA is in hand.
E-3 Visa Machine Learning Scientist: Frequently Asked Questions
How do I find Machine Learning Scientist jobs with E-3 visa sponsorship?
Migrate Mate is the recommended tool for this search. It surfaces Machine Learning Scientist roles at employers who are open to E-3 sponsorship, saving you from applying to companies unfamiliar with the visa. Because the E-3 has no lottery and no annual cap, any role that qualifies as a specialty occupation can be filled year-round, which expands the pool of willing sponsors compared to H-1B hiring.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Machine Learning Scientist role qualify as a specialty occupation for the E-3?
Yes, provided the position normally requires at least a bachelor's degree in a specific technical field such as computer science, statistics, applied mathematics, or a closely related discipline. Roles that accept any degree regardless of field, or that treat the degree as a general credential rather than a job-specific requirement, may not satisfy DOL's specialty occupation standard. Documenting the technical degree requirement in the job description strengthens the LCA.
How does the E-3 compare to the H-1B for Machine Learning Scientist positions?
The E-3 is significantly more predictable for Australian ML Scientists. The H-1B is subject to an annual cap and a random lottery, meaning a qualifying offer and petition can still be rejected by chance. The E-3 has a 10,500-slot annual allocation that has never been exhausted, so there is no lottery. Approved E-3 status lasts two years and renews indefinitely, and you can apply at the consulate within weeks of receiving an offer rather than waiting for an October start date.
Can I transfer my E-3 status if I move between machine learning roles or employers?
Yes, but each new employer must file a fresh LCA and your role must independently qualify as a specialty occupation. There is no portability rule that carries over from a previous E-3 employer the way AC21 works for H-1B holders. You should avoid a gap in authorised employment, and many practitioners recommend not resigning until the new LCA is certified and your visa documentation is updated.