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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 LearningScience.
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:
- Apply statistics methods like confidence intervals, point estimates and sample size estimates to make sound and confident inferences on data and A/B tests.
- 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 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 August – September 2022
- Must be graduating in 2022 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
We do not require you have all of the below, this will support with which team you are most suited towards.
- Have proven theoretical understanding various machine learning topics like Regression, Naïve Bayes, 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.
- Have solid understanding 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 cloud computing, AWS specifically, in a distributed computing context.
- Familiarity with some of the following: Spark/PySpark, MLlib, TensorFlow, Keras, PyTorch, Caffe, Python ML libs (Pandas, Matplotlib, Scipy, Sklearn, Numpy etc)
- Must-have: Scala and/or Python, SQL.
- Nice-to-have: Java, R, C++, Hive, Hadoop, Microsoft SQL Server
- Effective communication and the ability to engage with a variety of partners (e.g., internal, external, technical, non-technical people)
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:
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™.
