Expedia

We are looking for a top-notch applied researcher and software engineer passionate about breaking new ground to improve Expedia's Lodging Platform. The Expedia Lodging Platform team is the business powerhouse for the Expedia group and contributes the largest share of our company’s revenue. The platform teams power two main lines of business, Lodging Shopping and Lodging Supply, and covers ten+ major Product areas. Our Lodging Platform operations are global, with representation in 8 countries and 17 offices. Our platforms are unique, supporting multiple Expedia Group brands - Brand Expedia Group; including Brand Expedia, Orbitz, Travelocity, Wotif and ebookers; and our sister brands Hotels.com, Expedia Affiliate Network, trivago and most recently HomeAway.

What makes Lodging unique?

• Driving pricing computations supporting approximately 60 thousand requests per second (rps); arguably one of the top 10 search systems in the world
• Building a cutting edge geography system returning 7,500 rps enabling travelers to find the best locations to stay
• Continuously growing a vast inventory system supporting 50 million updates/day; with rooms, rates, dates and types
• Deep and broad content system enabling 10 million updates/day; which includes 38TB of images, alone

The focus of your job will be to find opportunities to use the data generated by the platform to build machine learning systems that improve the efficiency, resilience and performance of the system to help us connect travelers with phenomenal places to stay.

You will work with data scientists, business leaders and technical directors and executives to collect information, craft proofs of concept and build and operate finished systems. Mentoring other software engineers along the way, as much as you'll create systems that constantly improve our platform though real-time analysis of the data, you'll leave behind software engineers who have learned from your mentoring how to do the same.

Have an entrepreneurial bent? While there is already a data science team partnering with the Lodging Platform, you won’t report to them. Instead, you will help build an operationally focused practice for to improve the existing software systems.

If this sounds interesting, we'd love to hear from you!

Responsibilities

• You will provide technical leadership, identify key operational, business and platform challenges and opportunities.
• You will design, develop, test and operate end-to-end software solutions using machine learning and related optimization and knowledge systems.
• You will assess the validity of assumptions and hypotheses through iterative demonstrations of capabilities in order to align with our agile teams.
• You will communicate effectively up and down the organization including to CTOs and executives across the company, both oral and written.

Person Profile

• You have an advanced degree in CS or related field with experience and production work in machine learning
• 5+ years experience working with data at scale.
• 10+ years of experience crafting and architecting services and solution in a distributed environment preferred.
• Experience with micro-services architecture, design patterns, and standard methodologies with an eye towards scale, automation, resiliency and high availability preferred.
• Experience with cloud native architectures or with cloud migrations preferred.

The focus of your job will be to find opportunities to use the data generated by the platform to build machine learning systems that improve the efficiency, resilience and performance of the system to help us connect travelers with amazing places to stay.

You will work with data scientists, business leaders and technical directors and executives to collect information, craft proofs of concept and build and operate finished systems. Mentoring other software engineers along the way, as much as you'll create systems that constantly improve our platform though real-time analysis of the data, you'll leave behind software engineers who have learned from your mentoring how to do the same.

Have an entrepreneurial bent? While there is already a data science team partnering with the Lodging Platform, you won’t report to them. Instead, you will help build an operationally focused practice for to improve the existing software systems.

If this sounds interesting, we'd love to hear from you!

Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business. Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them to tools to do so.

Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small. We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple. Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.

If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.

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.