Machine Learning Scientist III

Posted 6 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
AdTech • eCommerce • Information Technology • Travel • Generative AI
Powering global travel for everyone, everywhere.
The Role
Develop and productionize advanced ML and NLP models (including LLMs) to personalize marketing content. Explore text and image opportunities, build scalable prototypes from large datasets, design experiments (A/B, multivariate), collaborate with cross-functional teams, mentor peers, and present results to stakeholders to drive business impact.
Summary Generated by Built In

At Expedia Group, we help travelers explore the world, one journey at a time. 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. 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. Join us and build for travelers everywhere.

Introduction to team

We create and deliver tailored marketing strategies for Expedia Group’s brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. 

Are you passionate about using Machine Learning (ML) and Natural Language Processing techniques to enhance the Traveler Experience? Our Marketing Content Machine Learning Science team focuses on generating and optimizing content that delivers relevant, personalized experiences to travelers and drives value for our business.

If you're ready for your next challenge and want to innovate in a forward-thinking and cutting-edge team, we want to speak with you!

We are looking for a self-motivated and independent individual who will have end to end ownership over driving impact to Expedia’s largest Marketing channels. With ample access to the latest technology this could be an exciting position for someone who loves to explore and deeply understand applications of machine learning!

In this role, you will:

  • Develop and implement advanced machine learning models (including Large Language Models) and statistical algorithms, processing massive datasets to build scalable prototypes.

  • Explore new content opportunities in text and image domains to create personalized traveler experiences with high business impact.

  • Design and run experiments (A/B testing, multi-variate, factorial design, stratified sampling) to measure the effectiveness of campaigns and new initiatives.

  • Collaborate with cross-functional teams, including Machine Learning Science, Marketing, and Engineering, and present findings to executives and stakeholders to drive strategic decisions.

  • Contribute to the success of Expedia's ML community by mentoring team members, fostering a collaborative culture, and sharing best practices with other ML teams.

Experience and Qualifications:

  • Master’s Degree or PhD preferred in a related field, or equivalent related professional experience

  • Proficient in one or more data science programming languages (Python, Java, R).

  • Proven experience applying NLP techniques and LLMs in production to solve business problems and generate significant value.

  • Strong expertise in ML techniques such as Bayesian Methods, Clustering, Decision Trees, Latent Dirichlet Allocation, NER, Random Forests, and more.

  • Accustomed to collaborative, fun work environments.

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.


About Expedia 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.

Skills Required

  • Proficient in one or more data science programming languages (Python, Java, R).
  • Proven experience applying NLP techniques and Large Language Models in production to solve business problems.
  • Strong expertise in ML techniques such as Bayesian Methods, Clustering, Decision Trees, Latent Dirichlet Allocation, Named Entity Recognition, Random Forests.
  • Experience designing and running experiments (A/B testing, multivariate, factorial design, stratified sampling).
  • Experience processing massive datasets and building scalable prototypes.
  • Master's Degree or PhD in a related field or equivalent professional experience.
  • Ability to collaborate cross-functionally and present findings to executives and stakeholders.
  • Mentoring team members and contributing to ML community best practices.

Expedia Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Expedia Group and has not been reviewed or approved by Expedia Group.

  • Wellbeing & Lifestyle Benefits Wellness and travel perks are positioned as differentiators, with wellness and travel reimbursement, brand discounts, and IATAN access supporting work-life balance. Flexible schedules, commuter benefits, and onsite amenities further enhance lifestyle value.
  • Parental & Family Support Family-focused provisions include generous parental leave, adoption and surrogacy assistance, childcare benefits, and caregiver support. Pet care leave and company-sponsored family events broaden the definition of family support.
  • Inclusive Benefits Coverage Healthcare is described as inclusive, extending coverage to partners regardless of gender or marital status and offering fertility and transgender services. This breadth signals support for diverse life stages and identities.

Expedia Group Insights

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The Company
HQ: Seattle, WA
16,000 Employees
Year Founded: 1996

What We Do

Expedia Group powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. 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™.

Why Work With Us

As travelers and technologists, we are passionate about making travel more seamless, accessible and memorable. We embrace different perspectives, celebrate new ideas, and empower every Expedian to drive meaningful change. The experiences we create bridge divides and broaden horizons – helping create unforgettable memories through travel.

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