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Expedia Group
Expedia Group
LogistikaMehmondo‘stlikSayohat
Expedia Group mehmondo‘stlik, logistika va sayohat sohalarida faoliyat yurituvchi global sayohat texnologiyalari kompaniyasidir. Expedia, Hotels.com, Vrbo, Travelocity, Egencia, Hotwire, Orbitz, eBookers, CheapTickets, CarRentals, Expedia Cruises, Wotif va Trivago kabi brendlari orqali sayohatchilarga aviaqatnovlar, turar joylar, avtomobil ijarasi, kruizlar va boshqa sayohat tajribalarini topish hamda bron qilishda yordam beradi. Uning texnologiyasi 70 dan ortiq mamlakatdagi 200 dan ziyod veb-saytni qo‘llab-quvvatlaydi va safarni rejalashtirish hamda bron qilishni yaxshilash uchun ma’lumotlar, sun’iy intellekt va mijozlar bilan raqamli muloqotni birlashtiradi. Expedia Group hamkorlariga sayohat bizneslarini rivojlantirish va boshqarish uchun zarur vositalar, tahliliy ma’lumotlar va infratuzilmani ham taqdim etadi.
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Kompaniyadagi ish o‘rinlari

Senior Machine Learning Scientist, Personalization

Develop recommendation, ranking, and retrieval systems for Expedia Group’s global travel platform. Turn advanced machine learning research into production personalization experiences.

USAmerika Qo‘shma ShtatlariCAKaliforniyaWAVashington
173 000 $ – 261 500 $ / yil
OfisdaTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi

Tavsif

  • Develop machine learning solutions for personalization, product, and business challenges.
  • Turn ambiguous opportunities into scalable models, experiments, and production capabilities.
  • Lead scientific work from problem definition and data exploration through feature engineering, model development, evaluation, and iteration.
  • Work with engineering, product, and business teams to integrate machine learning into services and workflows.
  • Contribute to system and API design and data modeling where relevant.
  • Choose suitable methods, validate results, and improve model performance, reliability, and operational quality.
  • Integrate and operate AI and machine learning solutions safely to improve outcomes.
  • Share expertise through experiments, documentation, mentoring, and reusable methods.
  • Help develop deep learning personalization systems for recommendations, ranking, retrieval, traveler understanding, sequential modeling, and foundation models.
  • Guide technical direction, strengthen modeling practices, and mentor fellow scientists.

Talablar

  • A bachelor’s degree in computer science or a related technical field, or equivalent relevant professional experience.
  • At least eight years of relevant professional experience.
  • Demonstrated ownership of machine learning solutions at the service or multi-service level, from problem definition and model development to evaluation and operationalization.
  • Strong grounding in machine learning methods, statistical analysis, experimentation, and data-informed decision-making.
  • Practical coding experience in scientific and production settings.
  • Experience partnering across functions to deploy technical solutions.
  • Experience developing scalable models, modeling data, and integrating solutions into software systems.
  • Preferred: an advanced degree in machine learning, computer science, statistics, mathematics, engineering, or another quantitative field.
  • Preferred: experience delivering machine learning solutions at scale, including architecture, production monitoring, model lifecycle management, and operational excellence.
  • Preferred: experience with recommendation, ranking, retrieval, search, personalization, advertising, marketplaces, e-commerce, or similarly complex applied machine learning systems.
  • Preferred: experience with neural recommendation systems, sequential or session-based recommendations, transformer-based recommenders, semantic or generative retrieval, or large-scale representation learning.
  • Preferred: experience with foundation models, large language models, embedding models, semantic IDs, hybrid LLM-recommender systems, two-stage retrieval and ranking, or retrieval-augmented personalization workflows.
  • Preferred: contributions to the machine learning or recommender-systems community, such as academic publications, patents, open-source projects, technical blog posts, or industry talks.

Imtiyozlar

  • Medical, dental, and vision coverage.
  • Paid time off.
  • Employee Assistance Program.
  • Wellness reimbursement.
  • Travel reimbursement.
  • Travel discounts.
  • International Airlines Travel Agent Network (IATAN) membership.
  • Accommodation or adjustment support during the application or recruiting process for people with disabilities.

O‘xshash ish o‘rinlari

PHLY

Senior PIP Claims Examiner

PHLY
11 – 50 Xodimlar
Elektron tijoratMediaSport
USAmerika Qo‘shma ShtatlariAZArizonaCAKaliforniyaCOKoloradoCTKonnektikutFLFloridaILIllinoysKSKanzasNJNyu-JersiNYNyu-YorkOHOgayoPAPensilvaniyaTXTexas
76 700 $ – 85 700 $ / yil
GibridTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaSug‘urta da’volari bo‘yicha mutaxassis

Evaluate coverage, reserves, and settlements for PIP claims at Philadelphia Insurance Companies. Investigate claims and coordinate with claimants, customers, mediators, and legal parties.

Ochish
Ford Motor Company

Remote Auto Physical Damage Catastrophe Claims Adjuster

Ford Motor Company
H1B vizasi homiysiKonsaltingLogistikaMarketing
USAmerika Qo‘shma ShtatlariKYKentukkiMasofaviyTo‘liq stavkaJuniorO‘rta darajaDiplom talab qilinmaydiTalab Qilinadigan Til: inglizchaSug‘urta da’volari bo‘yicha mutaxassis
Assembler

Adjust auto physical damage claims and prepare estimates for Ford Credit across Kentucky and at catastrophe sites nationwide. The role involves frequent overnight travel and dealer support.

Ochish