Senior Machine Learning Scientist - Recommendations and Relevance

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Senior Machine Learning Scientist - Recommendations and Relevance

View more categories View less categories Sector Travel and Tourism Role Senior Executive Contract Type Permanent Hours Full Time

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

Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more

We are seeking an exceptional Sr. Machine Learning Scientist to join Private Label Solutions (PLS) applied machine learning team. As a global leader in B2B travel technology, PLS serves thousands of partners across diverse markets and travel segments. Recommender systems and relevance algorithms are foundational capabilities that have a significant impact on the business and are critical to the success of our partners, suppliers and Expedia Group. This role will be pivotal in developing and implementing cutting-edge ML solutions for personalized recommendations, learning to rank, and relevance optimization. The ideal candidate will combine strong technical skills with deep commercial acumen to drive substantial value for PLS and our partners.

In this role, you will:

• Lead development of advanced ML-powered recommender systems and relevance algorithms at scale.

• Architect end-to-end ML solutions for high-throughput, low-latency personalized recommendations across partner segments.

• Provide technical leadership and mentorship, fostering innovation and continuous learning.

• Collaborate cross-functionally to align ML solutions with business strategy and partner needs.

• Guide a full-stack ML team, supporting technical growth and implementation.

• Conduct and present advanced analyses, ensuring models deliver business value and comply with legal and commercial standards.

Experience and qualifications:

• You hold a Ph.D. (preferred) or Master s in Computer Science, ML, Mathematics/Statistics, or a related field.

• You have 5+ years of experience deploying large-scale recommender systems in high-volume, low-latency environments.

• You translate business needs into technical solutions with strong commercial acumen.

• You possess deep knowledge of ML algorithms, especially in recommendation and learning-to-rank, and stay current with emerging techniques.

• You are experienced in multivariate testing, mentoring junior scientists, and leading technical decisions.

• You are proficient in Python, Java, Scala, and ML frameworks (e.g., TensorFlow, PyTorch), with experience in cloud platforms (AWS), big data (Spark), and deployment tools (Kubernetes, Airflow, Docker).

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 Expediareg; Expediareg; Partner Solutions, Vrboreg;, trivagoreg;, Orbitzreg;, Travelocityreg;, Hotwirereg;, Wotifreg;, ebookersreg;, CheapTicketsreg;, Expedia Group Media Solutions, Expedia Local Expertreg;, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -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 The official website to find and apply for job openings at Expedia Group is

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. Company Who we are

We are travelers and technologists. We work across time zones, hemispheres, cultures, and languages. We thrive on breaking things down and building them back up again until they're even better.

We know travel can be hard. But we also know it's worth it every time. And because we believe travel is a force for good, we take our roles seriously. We're here to build great products and create connections that truly bring good into the world.

Accommodations and adjustments

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions.

If you require an accommodation or adjustment for any part of the application or recruitment process, please let us know by completing our Accommodation Request Form.

We're a diverse company, that feels like a community

When you join Expedia Group you become part of a global network of passionate travelers and technologists. Everyone is welcome here, and we take purposeful steps to create and nurture a diverse, open culture.

We find meaning in the work we do: together, we can broaden horizons, strengthen connections, and bridge divides.

We're a truly global company, with offices on almost every continent. Our hybrid working policy empowers our employees to enjoy the benefits of remote working while staying connected to their colleagues.

No matter where you are - or where you dream of being - we've got opportunities for you to explore.

Our industry-leading benefits package enables you to create a fulfilling career while staying healthy, happy, and well.

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