Travel Tech Essentialist Job Board

The Leading Platform for Travel Tech Careers and Talent. Jobs updated daily

Employers / Post a Job

Machine Learning Science Intern - Chicago and Seattle (PhD)



Software Engineering
Multiple locations
Posted on Tuesday, January 30, 2024

If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form. This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application.

Are you passionate about solving complex problems and interested in the scalability of tech products to millions of users? Excited about being part of an inclusive and impactful culture? Join us at Expedia Group and contribute to innovative projects that are reshaping the future of travel.

By joining the Expedia Group 2024 Global Summer Internship Program as a Machine Learning Science Intern you’ll fully integrate into our inclusive community and gain a well-rounded experience of life at Expedia Group. Our global program offers an exciting opportunity to contribute to business-critical projects by developing your skills through tailored learning and training, providing ongoing support, and offering insightful intern-specific events to build knowledge and community.

Internship Program Highlights:

  • Onboarding: Connect with your cohort, receive support, and set up for success in your first week

  • Intern Bootcamp: Role-specific technical and professional skills learning, both in-person and virtual, delivered in your first week to help you get set up for success

  • Meaningful work and projects: Interns join a variety of Expedia Group teams and directly contribute to business workstreams and priorities; at the conclusion of the internship interns present their work to team members and senior leadership

  • Learning Series: Interactive workshops delivered by our Learning team to build professional & soft skills, and support development, including topics such as personal branding and presentation skills

  • Leadership Series: Exclusive intern-only events with our Travel Leadership Team leaders to learn about their career journeys, hear their views on industry and company trends and ask questions!

  • Social events: Regular fun events organized for each regional cohort so you can get to know others, enjoy the Expedia Group culture, and enjoy some downtime!

  • Mentorship: Mentors are assigned to each individual intern to support your development and learning throughout the program and are also a great way to build your understanding and network at EG.

  • Support: Coaching and advice, provided by managers, team navigators (buddies) and a specific point of contact per region from Emerging Talent & Careers.

What You’ll do:

Travel is so much more than simply reaching your destination. Along the way you will make an immediate impact on reimagining the way people search for travel with our awesome team by inventing brand-new techniques to power global travel for everyone, everywhere. From building pipelines and prototyping new ML models with A/B testing, to applying new techniques to services that run tens of thousands of requests per second, there is no shortage of opportunities for technical innovation at Expedia Group – the sky’s the limit!

  • Applying statistics methods like confidence intervals, point estimates and sample size estimates to make sound and confident inferences on data and A/B tests

  • Applying Natural Language models to Google keyword analysis and applying meta models to our multi-objective ranking problem

  • Communicating complex analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external)

  • Conducting feature engineering and modifying existing models/techniques to suit business needs

  • Developing domain expertise in fraud & risk to understand how to detect risky transactions

  • Modeling rich and complex online travel data to understand, predict and optimize business metrics to help improve the traveler experience

  • Framing business problems as data science problems with a concrete set of tasks

  • Apply your domain (i.e. travel, online retail) knowledge, business acumen (understanding the underlying business objectives), and critical reasoning skills to your work

Who You Are:

We know that many potential candidates can be hesitant to apply for a job if they aren't sure that they meet all the criteria shared. If you meet all the criteria labelled ‘Must’ and are interested in this role, we encourage you to apply!

  • Must be available to commit to the full program dates

  • May 20th, 2024 – July 26th, 2024, OR June 24th, 2024 -August 30th, 2024

  • Must be graduating with a Phin a technical subject (e.g. PhD degree in a technical, or analytical-related, subject such as Computer Science (with focus in areas like Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science), Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering, or any Engineering degree) between December 2024 and July 2025

  • Must be willing to relocate to city of job location if outside commuting distance

  • Must have Python and/or Scala, SQL knowledge

  • Must have no more than 2 years' professional experience

  • Helpful to have theoretical understanding various machine learning topics like Regression, Naïve Bayes, Deep Learning, Gradient Boosting, Random Forests, SVMs, Neural Networks

  • Helpful to have experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java

  • Helpful to have understanding of distributed file systems, scalable datastores, distributed computing and related technologies (Spark, Hadoop, etc.); implementation experience of MapReduce techniques, in-memory data processing, etc.

  • Helpful to be familiar with cloud computing, AWS specifically, in a distributed computing context

  • Helpful to be able to effectively communicate and engage with a variety of partners (e.g., internal, external, technical, non-technical people)

  • Helpful to have Java, R, C++, Hive, Hadoop, Microsoft SQL Server knowledge

What We Offer:

Successful candidates will receive a competitive compensation package including the benefits below and others:

  • The total cash range for this position in Seattle is $56 per hour. The total cash range for this position in Chicago is $53 per hour. Pay for this role will vary based on multiple factors, including location and degree level.

  • Hybrid Work Policy

  • Travel discounts

  • Opportunity to receive a full-time permanent offer after graduation and 12 months of customized support from our Emerging Talent & Careers team

  • Community support through Expedia Group’s Inclusion Business Groups

  • Relocation support (if eligible)

Next Steps:

Apply now! Our dedicated emerging talent & careers team will review your application and suitable applicants will be encouraged to complete an immersive strength based online assessment as the first step. Depending on the role profile you are applying to, selected candidates may also be asked to take a skills-based screening assessment.

Candidates who are invited to a final round interview will have the opportunity to meet with members of our team through two virtual interviews covering both technical and behavioral skills related to the position. These interviews will also be a chance for you to learn more about us, too!

Our Commitments:

About Expedia Group

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®,®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®,™, and Expedia Cruises™.

© 2021 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 to whom we have not made prior contact. Our email domain is The official website to find and apply for job openings at Expedia Group is

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, or veteran status. 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.