Senior Personalization ML Scientist — Real‑Time Recs

Senior Personalization ML Scientist — Real‑Time Recs

Genève Vollzeit Kein Homeoffice möglich
T
Introduction to the team The Unified Personalization Service (UPS) team is part of Expedia Product or equivalent related professional experience. 8+ years of relevant professional experience. Demonstrated ownership of machine learning solutions at the service or multi‑service level, including problem definition, model development, evaluation, and operationalization within a product or technical domain. Strong foundation in machine learning methods, statistical analysis, experimentation, and data‑driven decision making, with hands‑on coding experience in scientific and production‑oriented environments. Experience working with cross‑functional partners to deploy technical solutions, with core expectations in scalable model development, data modeling, and integration into software systems. Preferred Qualifications Advanced degree in Machine Learning, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Experience delivering machine learning solutions at scale, including architecture considerations, production monitoring, model lifecycle management, and operational excellence in live environments. Demonstrated ability to influence technical direction within a domain through rigorous experimentation, strong scientific reasoning, pragmatic solution design, and clear communication with cross‑functional partners. Strong experience with recommendation, ranking, retrieval, search, personalization, ads, marketplace, e‑commerce, or similarly complex applied ML systems. Experience with neural recommendation systems, sequential or session‑based recommendation, transformer‑based recommenders, semantic retrieval, generative retrieval, or representation learning at scale. Experience with foundation models, LLMs, embedding models, semantic IDs, hybrid LLM‑recommender systems, two‑stage retrieval and ranking systems, or retrieval‑augmented personalization workflows. Relevant academic publications, patents, open‑source contributions, technical blog posts, industry talks, or other contributions to the ML/recommender‑systems community. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. 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. #J-18808-Ljbffr
T

Kontaktdaten:

Traveltechessentialist Recruiting-Team