Software Development Engineer II - Machine Learning

Expedia • Full-time • Seattle, Washington, United States • $112k - $157k / year • 2m ago

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 flexible work model (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.

Introduction to the team

We are seeking a talented Software Development Engineer II to join our AI Recommendations team within the Search and Recommendations organization. Our team is at the forefront of revolutionizing travel experiences through cutting-edge recommendation systems. We power personalized suggestions across Expedia Group's portfolio of brands, including Expedia.com, Hotels.com, and VRBO, enhancing user experiences on various platforms and for multiple lines of business.

As a backend-focused team, we orchestrate sophisticated recommender systems that operate in real-time, design-time, and batch processing modes. Our work spans from crafting high-performance APIs to developing robust data products that fuel insights, analytics, and machine learning model training.
 

In this dynamic environment, you'll have the opportunity to work primarily with Kotlin, while also exploring other languages like Python, Scala, front-end and data technologies as needed. Join us in shaping the future of AI-driven travel recommendations!
 

In this role, you will:

Design, develop, and maintain high-throughput, low-latency distributed services that power software systems across multiple brands and travel verticals

Collaborate on the architecture and implementation of orchestration layers for real-time, design-time, and batch processing recommendation systems

Contribute to data products development and ML model governance, driving insights, analytics, and model training

Optimize systems to handle millions of requests per second while maintaining high accuracy and personalization

Engage in architecture reviews, technical documentation, and code reviews, while mentoring team members on best practices in building scalable and efficient services

Collaborate with cross-functional teams to align technical solutions with business objectives, identify opportunities for enhancing recommendation algorithms, and propose innovative solutions to improve user experiences

Experience and qualifications:

Bachelor’s degree in Computer Science or equivalent (3+ years software development experience), or Master's degree (2+ years post-degree experience)

Hands-on experience developing software using Java, Scala, Kotlin, or similar object-oriented and functional languages, with strong familiarity in data structures and algorithms

Proven experience designing and operating scalable, distributed, event-driven systems within AWS cloud infrastructure or similar technologies

Practical knowledge of distributed SQL and NoSQL databases and caching solutions, such as Redis, Memcached, DynamoDB, or MySQL

Excellent communication, analytical skills, a commitment to operational excellence, high-quality coding standards, and accountability for delivered solutions within globally distributed teams

Familiarity with recommendation systems, search algorithms, machine learning, AI technologies, or experience working with large language models (LLMs) in production is highly desirable

No relocation assistance offered
Please note that this role is only available in Seattle, in alignment with our flexible work model which requires employees to be in-office at least three days a week. We are unable to offer relocation assistance for this role.

The total cash range for this position in Seattle 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.