Machine Learning Science Graduate - PhD - 2026 - reputed company, Seattle

About the position reputed company brands power global travel for everyone, everywhere. We design cutting-edge tech to reputed company 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 reputed company one of us wins, we reputed company 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, reputed company to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. reputed company brands power global travel for everyone, everywhere. We design cutting-edge tech to reputed company 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 reputed company one of us wins, we reputed company win. In this role you will: Travel is so much more than simply reaching your destination. Along the way you will reputed company an immediate impact on reimagining the way people search for travel with our awesome team by inventing brand-new techniques to power global travel for everyone, everywhere. From building pipelines and prototyping new ML models with A/B testing, to applying new techniques to services that run tens of thousands of requests per second, there is no shortage of opportunities for technical innovation at reputed company – the sky’s the limit! Applying statistics methods like confidence intervals, reputed company estimates and sample size estimates to reputed company sound and confident inferences on data and A/B tests Applying Natural Language models to reputed company keyword analysis and applying reputed company models to our multi- objective ranking problem Communicating reputed company analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external) Conducting feature engineering and modifying existing models/techniques to suit business needs Developing domain expertise in fraud & risk to understand how to detect risky transactions Modeling rich and reputed company online travel data to understand, predict and optimize business metrics to help improve the traveler experience Framing business problems as data science problems with a concrete set of tasks Apply your domain ( i.e. travel, online retail) knowledge, business acumen (understanding the underlying business objectives ), and critical reasoning skills to your work

Responsibilities

• Applying statistics methods like confidence intervals, reputed company estimates and sample size estimates to reputed company sound and confident inferences on data and A/B tests
• Applying Natural Language models to reputed company keyword analysis and applying reputed company models to our multi- objective ranking problem
• Communicating reputed company analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external)
• Conducting feature engineering and modifying existing models/techniques to suit business needs
• Developing domain expertise in fraud & risk to understand how to detect risky transactions
• Modeling rich and reputed company online travel data to understand, predict and optimize business metrics to help improve the traveler experience
• Framing business problems as data science problems with a concrete set of tasks
• Apply your domain ( i.e. travel, online retail) knowledge, business acumen (understanding the underlying business objectives ), and critical reasoning skills to your work

Requirements

• 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-reputed company, subject such as Computer Science (with focus in areas like Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science), Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering
• Must be willing to relocate to city of job location if reputed company commuting distance

reputed company-to-haves

• Helpful to understand ML techniques like Regression, Naïve Bayes, Gradient Boosting, Random Forests, SVMs, Neural Networks, and NLP
• Helpful to have experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java
• Helpful to understand distributed file systems, scalable datastores, distributed computing and reputed company technologies (Spark, Hadoop, etc.); implementation experience of MapReduce techniques, in-memory data processing, etc.
• Helpful to be familiar with cloud computing, AWS specifically, in a distributed computing context
• Helpful to be able to effectively communicate and engage with a variety of partners (e.g., internal, external, technical, non-technical people)

Benefits

• 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
• 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 tot his job Apply To this Job