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2023 PhD Graduate - Machine Learning Scientist II

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Expedia Group

Expedia Group

2023 PhD Graduate - Machine Learning Scientist II

3 locations
Full Time
Paid
  • Responsibilities

    Can you predict and apply AI to turn data into actions that transform products from good to great? Do you want to power the future of travel? Then come and make a positive impact, strengthen connections, and bridge divides across the world, here at Expedia Group. Come onboard and help us to bring people together through travel technology, while jump-starting your career in 

    Machine Learning Science.

    What You’ll do:

    Travel is so much more than simply reaching your destination. Along your journey you will make an immediate impact on reimagining the way people search for travel as part of an exciting team that will help invent brand-new techniques to bring the world within reach. 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! We are hiring across multiple teams therefore the role may differ dependent this. You will be involved in some of the following: 

    • 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

    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 all the criteria labelled ‘Must’ and are interested in this role, we encourage you to apply!

    • Must be available to start in 2023, we have various start dates throughout the year for PhD students.

    • Must be graduating between December 2022 and December 2023 with a PhD 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. 

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

    • Helpful to understand ML techniques like Regression, Naïve Bayes, Gradient Boosting, Random Forests, SVMs, Neural Networks, and NLP

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

    • Helpful to understand 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)

    What We Offer:

    Successful candidates will receive a competitive compensation package including comprehensive benefits and other perks, some of which are included below:

    • Travel discounts

    • Medical, dental, and vision insurance options

    • Travel and wellbeing reimbursement

    • Restricted Stock Units

    • Pet insurance and time for pet bereavement

    Next Steps:

    Apply now! Our dedicated early 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:

    • 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.

    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

    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 @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, 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.

  • Industry
    Internet
  • Locations
    Chicago, IL • Austin, TX • Seattle, WA
  • About Us

    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.