Senior Manager, Machine Learning Science - Fraud & Risk

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.

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.

• Lead, Mentor, and Develop: Mentor and grow a team of machine learning scientists, fostering a culture of innovation, collaboration, and scientific rigor.
• Strategic Planning & Delivery: Define and manage the team's strategic roadmap, set goals (OKRs) and align projects with broader business objectives in the online travel domain. Translate this roadmap into effective delivery of ML‑driven features and products.
• Influence and Collaborate: Act as a key scientific leader, partnering with product, engineering, and business executives to align strategy and communicate complex technical concepts to a diverse audience.

• PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics).
• 5+ years of industry experience applying machine learning to solve real‑world problems.
• 2+ years of direct people management experience with a proven track record of hiring, mentoring, and developing a high‑performing team of machine learning scientists.

• Deep expertise in machine learning theory and learning algorithms (supervised and unsupervised), including a strong understanding of assumptions and limitations.
• Ability to design end‑to‑end ML solutions based on deep understanding of business requirements, including approach, algorithm choice, data strategy, deployment, and monitoring.
• Experience applying sequential models (e.g., RNNs, Transformers) and/or Graph Neural Networks (GNNs) in real‑world settings, with awareness of their trade‑offs and deployment considerations.
• Champion of software engineering best practices (e.g., version control, code reviews) within the team.
• Hands‑on fluency in Python and its data science ecosystem (e.g., PySpark, scikit‑learn), and SQL. Technical depth to unblock your team and contribute to architectural decisions.

• Passion for fostering healthy team culture that brings a balanced approach to individual team member career growth and collective goal of delivering impactful work.
• Demonstrated ability to lead, mentor, and grow ML/DS talent, fostering a culture of innovation, scientific rigor, and psychological safety.
• Strategic thinking and business acumen to align ML initiatives with organizational goals and measurable impact.
• Strong storytelling and influencing skills to build trust, drive alignment, and support high‑stakes decisions.

• Advanced domain knowledge in fraud, e‑commerce, and operational applications of ML.
• Hands‑on experience building and deploying models using GenAI / LLM technologies (e.g., OpenAI, Anthropic Claude, Google Gemini, Hugging Face), including fine‑tuning and prompt engineering for production use cases.
• Understanding of multi‑agent architectures and best practices in agentic AI design and practical experience with function calling / tool use and API‑based reasoning models to drive automated workflows.
• Experience with real‑world AI evaluation techniques (golden sets, synthetic data generation, offline and interactive testing) for GenAI systems.

We offer a wide range of benefits to support employees and their families, including medical, dental, vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer wellness & travel reimbursement, travel discounts, and an…