Do you want to power the future of travel? Are you ready to fuel industry change and jumpstart your career in MACHINE LEARNING SCIENCE at a leading travel technology company? As an Intern at Expedia Group, you’ll work on meaningful projects that innovate travel, and be a part of a supportive culture of inclusivity and impact.

We pave the route for our early careers talent to go far and fast with accelerated career development. By joining the Expedia Group 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.

YOUR INTERNSHIP WILL INVOLVE:

• SOCIAL EVENTS: regular events organized by our interns, supported by the early-careers team
• LEADERSHIP SERIES: an opportunity to ask questions directly to our leaders during events, and to learn about their career journeys
• LEARNING SERIES: interactive workshops to build your professional & soft skills, and to support you, including allyship skills and mental health wellness
• SUPPORT: continuous coaching, and advice, provided by a dedicated manager and a mentor
• PROJECT WORK: interns enjoy a great level of responsibility and complete incredible projects on exciting travel technology opportunities
• TRAVEL PERKS: enjoy travel discount coupons for hotels and activities
• CONVERSION: a high proportion of our Interns secure full-time job offers following the internship.

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!

• Apply statistics methods like confidence intervals, point estimates & sample size estimates to make sound and confident inferences on data and A/B tests.
• Develop machine learning models that power Personalized experiences and Recommendations
• Apply Natural Language models to Google keyword analysis and applying meta models to our multi-objective ranking problem.
• Build and manipulate large data sets to design algorithmic and machine learning solutions as well as provide business insights.
• Apply solid coding skills, strong analytical and innovative thinking, and Machine Learning expertise to quickly learn new domains and turn innovative ideas into working solutions
• Communicate complex analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external)
• Develop foundational solutions by standardizing software libraries/packages
• You will spend large amounts of time in feature engineering modifying existing models/techniques to suit business needs.
• You may develop domain expertise in fraud & risk to understand how to detect risky transactions. Work with state-of-the-art Machine Learning tools to improve our existing detection systems and build new models as we expand into additional domains
• Model rich and complex online travel data to understand, predict and optimize business metrics to help improve the traveler experience.
• Frame business problems as a data science problem and 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.​

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 the start date/graduation criteria and are interested in this role, we encourage you to apply! 

• Available to start in June 2022 for a 10 week internship.
• Graduating in December 2022 or Winter / Spring 2023 with a Master’s or 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
• 3.0 minimum cumulative G.P.A

We do not require you have all of the below, this will support with which team you are most suited towards.

• Have theoretical understanding various machine learning topics like Regression, Naïve Bayes, Deep Learning, Gradient Boosting, Random Forests, SVMs, Neural Networks.
• We would like to see experience with statistical computing environments such as R, scikit-learn, SparkML, Python (pandas) etc.
• Knowledge and experience in one or more database technologies, including SQL and other relational databases, no-SQL, and Time Series databases
• Understand distributed file systems, scalable datastores, distributed computing and related technologies (Spark, Hadoop, etc.); implementation experience of MapReduce techniques, in-memory data processing, etc.
• Natural Language AI related research and experience (NLP, Speech recognition, etc.)
• Familiarity with some of the following: Spark/PySpark, MLlib, TensorFlow, Keras, PyTorch, Caffe, Python ML libs (Pandas, Matplotlib, Scipy, Sklearn, Numpy etc)
• Effective communication and the ability to engage with a variety of partners (e.g., internal, external, technical, non-technical people)
• Familiarity with cloud computing, AWS specifically, in a distributed computing context.
• Must-have: Python and/or Scala, SQL.
• Nice-to-have: Java, R, C++, Hive, Hadoop, Microsoft SQL Server

NEXT STEPS

Apply now! Our dedicated early careers team will review your application and suitable applicants will be encouraged to complete an online assessment. If you are successful, you'll be invited to a final interview. Please let us know on your application if you require reasonable adjustments during the hiring process.

OUR COMMITMENTS:

• Expedia Group 2020 Global Impact Report
• Expedia Group 2020 Inclusion & Diversity Report

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®, 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™.  

© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

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.

Expedia Group 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 are made up of the most knowledgeable, passionate, and creative people in our business. From engineers and marketers to customer service and concierge teams, our people are what power us to deliver the experience that brings travel closer to our customers and partners every single day.