Software Development Engineer II - Machine Learning at Expedia Group

Seattle, Washington, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Travel, TechnologyIndustries

Requirements

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
Available in Seattle (no relocation assistance offered)

Responsibilities

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

Skills

Kotlin

Python

Scala

Machine Learning

Recommender Systems

APIs

Data Processing

Analytics

Expedia Group

Travel booking platform for various services

About Expedia Group

Expedia Group operates in the travel industry, offering a wide range of services for travelers and travel-related businesses. It connects users to various travel options, including flights, hotels, car rentals, vacation packages, and activities, allowing them to find and book trips that fit their needs and budgets. The company generates revenue primarily through commissions from bookings made on its platforms and through advertising, where travel service providers can promote their offerings. Unlike many competitors, Expedia Group not only serves individual travelers but also partners with travel agencies and corporate clients, providing them with valuable data and tools to enhance their operations. The goal of Expedia Group is to create a seamless travel experience for users while supporting its partners in growing their businesses.

Bellevue, WashingtonHeadquarters

1996Year Founded

IPOCompany Stage

Consumer Goods, EntertainmentIndustries

Benefits

Paid Vacation

Parental Leave

Hybrid Work Options

Professional Development Budget

Risks

Riyadh Air's entry into the market could increase competition for Expedia.

CFO transition may lead to strategic shifts or instability in financial management.

Expedia's partnership with Mondelez WTR may not yield expected results due to economic uncertainties.

Differentiation

Expedia Group operates a diverse portfolio of travel brands, including Expedia and Vrbo.

The company offers a comprehensive suite of services for travelers and travel-related businesses.

Expedia Group partners with service providers, offering data, tools, and technology to optimize operations.

Upsides

Increased demand for personalized travel experiences enhances Expedia's AI-driven recommendation systems.

The rise of 'workcations' allows Expedia to market longer stay packages.

Sustainability in travel is a priority, enabling Expedia to promote eco-friendly options.

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