Senior Machine Learning Engineer, Distribution and Supply | Expedia Group | India - Haryana - Gurgaon
Senior Machine Learning Engineer, Distribution and Supply
India - Haryana - Gurgaon
Technology
Full-Time Regular
ID # R-97998
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:
The Distribution and Supply team at Expedia Group is revolutionizing how people search, book, and experience travel. We power the systems behind Pricing, Inventory, Content, and Marketplace Trust & Safety, ensuring travelers find the best deals and most reliable experiences across hotels, vacation rentals, flights, cars, packages, and cruises. Our platforms process trillions of events globally, connecting hundreds of millions of travelers across Expedia Group’s brands.
As a Senior Machine Learning Engineer, you’ll design and scale the intelligent systems that power Expedia’s global travel marketplace. You’ll work across Content, Pricing & Availability, Trust and Safety domains operating at massive scale and complexity.
Our Content systems manage hundreds of millions of digital assets—images, text, videos, and attributes—that bring destinations and experiences to life. You’ll use machine learning to automate content enrichment, enhance quality, and deliver personalized travel recommendations.
In Pricing & Availability, you’ll build models that optimize real-time pricing and inventory for hotels, rentals, and vehicles—processing millions of products and prices for users per second. Your work ensures travelers see the most accurate, competitive, and relevant prices worldwide.
Within Trust and Safety, you’ll develop models that uphold trust and fairness across Expedia’s two-sided ecosystem, detecting anomalies, mitigating fraud, and supporting partners in delivering high-quality traveler experiences.
If you’re passionate about applying machine learning to complex, high-scale systems that shape how the world travels, join us and help define the future of travel technology at Expedia Group.
In this role, you will:
Collaborate in cross-functional teams of Software Engineers and Machine Learning Engineers/Scientists to design and develop large-scale batch and real-time ML solutions in the Distribution and Supply domain
Propose, lead, and implement innovative ML applications across Pricing, Inventory, Content, and Trust & Safety while aligning technology strategy with business objectives, ensuring measurable impact
Lead end-to-end lifecycle for mid- to large-scale ML projects, from design to deployment
Establish and promote best practices, industry standards, and high-quality methodologies
Mentor junior engineers, fostering best practices for integrating ML into existing systems
Collaborate across senior-level organizations, leading communities of practice for shared learning
Drive cross-organizational initiatives, solve complex technical challenges, and innovate to enhance performance and scalability
Minimum Qualifications:
8+ years for Bachelor's, 6+ years for Master's, Degree in Software Engineering, Computer Science, or related field.
Proficiency in Python and Scala (or Java)
Expertise in Big Data technologies such as Spark , Hadoop, Hive
Proven ability to productionize Machine Learning models, including feature engineering, scalability, validation, and deployment
Preferred Qualifications:
Strong experience with cloud platforms such as AWS, EMR, Kubernetes, and Docker
Experience building real-time applications, preferably with Spark
Proficiency with ML platforms like Databricks or SageMaker, and libraries such as PyTorch or TensorFlow
Hands-on experience with workflow orchestration tools (e.g., Airflow, Flyte)
Experience in the e-commerce or travel industry
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.
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