2023 PhD Intern - Machine Learning Science

Job description

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. Can you predict and turn data into actions that transform products from good to great? 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 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 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 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 commit to the full program dates - May 22nd, 2023 – July 28th, 2023 OR June 26th, 2023 - September 1st, 2023Must 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 s upport (if eligible) Next Steps : Appl