Principal Machine Learning Scientist - Principal Machine Learning Scientist – Generative AI & C

Position: Principal Machine Learning Scientist - Principal Machine Learning Scientist – Generative AI & C[...]
Principal Machine Learning Scientist – Generative AI & Customer Experience

Join to apply for the Principal Machine Learning Scientist – Generative AI & Customer Experience role at Expedia Group.

Base pay range: $/yr - $/yr

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 we 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 Team

Our Machine Learning and Data Science team is growing. We are looking to hire researchers and data scientists interested in breaking new ground to tackle some of the most complex customer experience problems in the travel domain. The focus of this role is on developing state‑of‑the‑art machine‑learning algorithms and Generative AI solutions to power and enhance the customer experience across highly complex post‑booking recommendations, customer service, and trip management use cases.

You will tackle substantial technical challenges, from inference problems arising from long‑tail traveler data to multi‑objective optimization problems in the highly dynamic, operationally complex environment of customer service. Your passion for statistics, machine learning, and causal inference will unlock tangible growth for our business by exploiting these rich data sets and building effective solutions for travelers and our partners.

This opportunity lets you build the core algorithms that help Expedia Group’s Post‑Booking organization bring context and intelligence to every step of the traveler journey and redefine what service excellence in travel can be. We are looking for a hands‑on principal scientist to help us build and execute on a high‑impact vision, tackling fundamental challenges in predictive modeling and Generative AI to improve customer satisfaction and loyalty, lower cost‑to‑serve, and make travel more seamless for millions of customers and partners worldwide.

Machine Learning Engineering

• Configure, maintain, and optimize storage and processing environments (cloud, on‑premises, cluster management, etc.).

• Build production‑grade data and machine‑learning pipelines that support batch and streaming applications.

• Advocate for software design best practices and demonstrate your ability to construct robust data and machine‑learning pipelines.

Machine Learning / Data Science

• Perform applied research to consistently achieve desired solution performance and improve organizational capabilities.

• Demonstrate an in‑depth understanding of all aspects of learning theory.

• Support leaders in setting up frameworks for the machine‑learning development lifecycle and devise machine‑learning strategies.

• Advise business leaders in complex settings to create and enable robust machine‑learning solutions with high impact, at an expert level.

• Lead and mentor others in all machine‑learning activities.

Generative AI

• Deep expertise in LLM fine‑tuning and prompt engineering (e.g., OpenAI APIs, Hugging Face, Anthropic Claude, Google Gemini).

• Strong experience with AI orchestration tools (e.g., Lang Chain, Llama Index, vector databases for retrieval augmentation).

• Hands‑on knowledge of function calling and API‑based reasoning models (e.g., using structured outputs to drive automated workflows).

• Proficiency in Python and AI development frameworks for building scalable AI applications.

• Understanding of multi‑agent architectures and best practices in agentic AI design.

• Experience with real‑world AI evaluation techniques, including golden sets, synthetic…