Machine Learning Engineer III

Role overview

Machine Learning Engineer III at Expedia

Responsibilities

• You'll work closely with Machine Learning Scientists, Software Engineers, and Product partners in a fast-paced Agile environment to build, deploy, and operate production ML and GenAI systems at scale.
• Design, develop, test, deploy, and maintain machine learning software and solutions that deliver reliable, secure, and measurable product or engineering outcomes.
• Contribute to low-level system design, API design, data modeling, and technical decisions that support maintainable, resilient, and operationally reliable applications.

Required qualifications

• Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.
• 5+ years of relevant professional experience.
• Experience owning machine learning features or components within a service or application from design and implementation through testing, deployment, troubleshooting, and operational support.
• Proficiency in software development, machine learning solution development, API integration, data modeling, version control, automated testing, debugging, and production support.
• Familiarity with low-level system design and developing maintainable, reliable, secure, and operationally resilient software solutions.

Preferred qualifications and skills

• Experience delivering machine learning products or services at scale, with a focus on performance, reliability, security, operational excellence, and measurable customer or business outcomes.
• Demonstrated ability to use data and production insights to make technical decisions, diagnose complex issues, and improve the reliability and maintainability of machine learning applications.
• Experience contributing to architecture and design decisions across multiple services or technical domains while collaborating effectively with partner teams.
• Practical experience using AI-assisted development tools or applying AI/ML concepts to improve product capabilities, engineering workflows, or customer outcomes.
• Experience safely integrating, monitoring, and operating AI/ML-enabled features in production, with attention to reliability, governance, and measurable impact.
• Accommodation requests
• Expedia Group is committed to providing an inclusive and accessible recruiting experience.
• If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation .

Employment details

• Location: India - Gurgaon

Application details

• Collaborate across engineering, product, design, data, and other technical teams to deliver outcomes and apply your expertise across multiple problem spaces.

About the employer

• At Expedia Group, we help travelers explore the world, one journey at a time.
• Group
• Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
• Across our brands and business, we help travelers explore the world with confidence and ease.
• Important notice
• Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams.
• Never share sensitive personal information unless you are confident of the recipient.
• Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact.
• Our email domain is @expediagroup.com.
• The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ .
• Equal Opportunity
• 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, religion, gender, sexual orientation, national origin, disability or age.

Benefits

• Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work.

Additional role details

• As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
• Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy.
• Join us and build for travelers everywhere.
• Introduction to team: Distribution & Supply Technology (DST) powers the platform that lets travelers search, book, and experience travel across Expedia Group's brands, including Expedia, Hotels.com , and Vrbo.
• DST owns Pricing, Inventory, Content, and Marketplace Trust & Safety.
• Together, these teams source high-quality supply, price it competitively, enrich it with trusted content, and keep our two-sided marketplace safe for travelers and partners.
• Machine learning is central to all of it.
• Our Content systems manage hundreds of millions of digital assets, using ML and LLMs to enrich listings, summarize reviews, and moderate text.
• Our Pricing models optimize real-time prices across millions of products.
• Our Trust & Safety models detect policy violations, fraud, and safety risks before they become traveler-facing failures.
• That includes batch and real-time inference pipelines, model evaluation and monitoring, and platform capabilities that cut duplicated effort across teams.
• In this role, you will:
• Translate product, business, and technical requirements into scalable machine learning solutions using sound software engineering practices.
• Own machine learning features or components through design, implementation, testing, deployment, troubleshooting, production support, and continuous improvement.
• Safely integrate and operate AI/ML-enabled solutions, using foundational AI/ML concepts to improve product capabilities, engineering workflows, and customer outcomes.