2023 PhD Intern - Machine Learning Science

We pave the route for our early careers talent to go far and fast with accelerated career development. By joining the Expedia Group 2023 Global Summer Internship Program as a Machine Learning Scientist Intern, you’ll fully integrate into our inclusive community and gain a well-rounded experience of life at Expedia Group. At the conclusion of the program, you’ll have the opportunity to reflect on your experience with your manager and potentially receive a conversion offer for a full-time role as part of our Expedia Group Graduate Program after you graduate!  

About the Internship Program:    

• Onboarding: first week support with our Early Careers team, introductions to Expedia Group, laptop set up, meeting your intern cohort  

• Intern Bootcamp: role-specific technical and professional skills learning to help you get set up for success  

• Social events: regular fun events for all interns to get to know each other during the program   

• Leadership Series: opportunities to directly ask questions and learn about the career journeys of our leaders during exclusive intern-only Q&A events 

• Learning Series: interactive workshops to build professional & soft skills, and to support development, including topics such as personal branding and mental wellness    

• Support: coaching and advice, provided by managers, navigators (buddies) and Early Careers  

• Project work: interns enjoy a great level of responsibility and complete incredible projects specific to their role profile based on our business needs    

• 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 

We are hiring across multiple teams; therefore, the role may differ dependent on this. Sound interesting? Then check out what our current graduates are working on here.​  

• Must be available to commit to the full program dates - May 22nd, 2023 – July 28th, 2023 OR June 26th, 2023 - September 1st, 2023

• Must be graduating between December 2023 and August 2024 with a 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 

• Must have a 3.0 minimum cumulative G.P.A. (U.S. roles only) 

• 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:   

• Competitive hourly wage 

• Travel discounts 

• Relocation support (if eligible) 

Next Steps:  

• Expedia Group 2021 Inclusion & Diversity Report   

• Expedia Group 2021 Global Impact Report 

• Expedia Group has made commitments that will propel us forward on the path to progress, including our hiring target for women to occupy 50 percent of roles at all levels by the end of 2025, and 25 percent of U.S. external hires to come from racially and ethnically underrepresented groups by the end of 2022. We want to build lasting changes for future generations.