Machine Learning Science Graduate - PhD San Jose, Seattle

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.

• Apply statistics methods like confidence intervals, point estimates and sample size estimates to make sound and confident inferences on data and A/B tests.
• Apply Natural Language models to Google keyword analysis and apply meta models to our multi-objective ranking problem.
• Communicate complex analytical topics in a clean & simple way to multiple partners and senior leadership (internal & external).
• Conduct feature engineering and modify existing models/techniques to suit business needs.
• Develop domain expertise in fraud & risk to understand how to detect risky transactions.
• Model rich and complex online travel data to understand, predict and optimize business metrics to improve the traveler experience.
• Frame business problems as data science problems with a concrete set of tasks.
• Apply your domain (e.g. travel, online retail) knowledge, business acumen and critical reasoning skills to your work.

• Must be available to start on August 17, 2026.
• Must be graduating between December 2025 and July 2026 with a PhD degree in a technical or analytical-related subject such as Computer Science (AI/ML/NLP), Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering.
• Must be willing to relocate to the city of job location if outside commuting distance.

• Understanding of ML techniques such as Regression, Naïve Bayes, Gradient Boosting, Random Forests, SVMs, Neural Networks and NLP.
• Experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java.
• Understanding of distributed file systems, scalable data stores, distributed computing and related technologies (Spark, Hadoop, etc.) and implementation experience of Map Reduce techniques.
• Familiarity with cloud computing, AWS specifically, in a distributed computing context.
• Effective communication and engagement with a variety of partners (internal, external, technical, non-technical).

• The total cash range for this position in San Jose, CA is $170,000; in Seattle, WA is $160,000. Starting pay varies based on location and degree level.
• Hybrid work policy.
• Travel discounts.
• Medical, dental and vision insurance options.
• Travel and wellbeing reimbursement.
• Restricted Stock Units.
• Pet insurance and time for pet bereavement.

Apply now! Our dedicated early careers team will review your application and suitable applicants will be encouraged to complete an immersive strength‑based online assessment as the first step. If selected, you may also complete a skills‑based screening assessment. Final round interview will involve two virtual interviews covering technical and behavioral skills. Learn more about us during your interview.

If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health condition, please reach out to our Recruiting Accommodations Team through the Accommodation Request link.

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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status. This employer participates in E‑Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I‑9 to confirm work authorization.