Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Software Development Engineer II (MLE II)

Are you thrilled about solving complex technical problems? Are you excited by innovation and at the same time committed to build robust, well-designed and well-engineered distributed systems? Do you aspire to work in a place that values collaboration and fosters cooperation and trust? Do you want to see the result of your work directly impacting the company’s bottom line? If you answered, “Yes,” then we are eager to hear from you! We are looking for top engineering talent to help drive the development of our key platform capabilities, seamlessly roll out new features, and to continuously raise the bar on our operational excellence and engineering practices. We here at Expedia Group, create great products and facilitate connections between travelers and partners that truly bring good into the world. We help our travelers and partners find the right pathways through millions of possibilities to reach the best possible outcome. Powered by more than 70+ terabytes of data and 20 years of tech innovation, Expedia Group is one of the world’s largest travel platforms.

Powering many of travel’s most recognized global brands, the team orchestrates marketing, commerce, customer service, data, AI/machine learning, and supply services from across the company into websites and mobile apps that capture customer traffic, turn shoppers into bookers, and engage travelers at every stage of their journey.

Are you fascinated by machine learning and building robust machine learning pipelines that process massive amounts of data at scale and speed to provide crucial insights to end consumers? 

This is exactly what we, the Machine Learning Engineering Center Of Excellence in Expedia, do.  Our mission is to partner with our Machine Learning Science counterparts to use AI/ML to collaboratively transform Expedia's data assets into intelligent and real-time insights to support various applications used by 1000+ market managers, analysts, our supply partners, and our travelers. Our work spans a variety of datasets and ML models and a diverse technology stack ranging from Spark, Airflow, Databricks, Kubernetes, Vector databases, AWS, and much more! 

What you’ll do:

Write code that is clean, maintainable, optimized, modular with good naming conventions, and in a way that enables additional capabilities in the Expedia-wide Machine Learning Platform

Work across teams of Machine Learning engineers and Machine Learning Scientists to design and code large-scale batch and real-time ML platform capabilities

Prototype creative solutions quickly by developing minimum viable products and working with seniors and peers in crafting and implementing the technical vision for the team

Select valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask (i.e., not just order-taking). Use advanced and sophisticated understanding of the business problem space to inform the design of the solution

Communicate and work with geographically distributed cross-functional teams 

Participate in code reviews to assess overall code quality and flexibility 

Drive for continuous improvement within an agile development team

Participate in user story creation in collaboration with the team

Support and troubleshoot data and/or system issues as needed

Expand your skills in developing high-quality, distributed, and scalable software

Team up with peers across the organization to build an understanding of cross-dependencies and shared problem-solving

Seek, learn, and use new technical skills in an engineering area

Share new skills and knowledge with the team to increase efficiency

Lead/clarify code evolution in code reviews and pull requests

Spot areas of inefficiency in code or systems operation and offer suggestions for improvements

Compile and generate reports on major operational or technical initiatives (like RCAs) to larger groups, whether via written or oral means

Who you are:

Degree in software engineering, computer science, or a similar field

2-3 years of industry experience in comparable roles

Comfortable programming in Python, Java, Go

Good understanding of machine learning pipelines and machine learning practices

Solid understanding of Object-Oriented Programming concepts, data structure, algorithms, and system-level programming (including multi-threaded programming)

Strong communication skills in written and verbal form

Experience testing, automating, and instrumenting your code

A degree in computer science or related technical field or equivalent related professional experience

Prior experience developing and supporting Web Services is a plus

Working knowledge of AWS technologies, tools like Airflow

The total cash range for this position in Austin is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

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™. © 2024 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 with 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.