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Expedia Group
Expedia Group
CeļojumiLoģistikaViesmīlība
Expedia Group ir globāls ceļojumu tehnoloģiju uzņēmums, kas darbojas viesmīlības, loģistikas un ceļojumu nozarē. Ar tādiem zīmoliem kā Expedia, Hotels.com, Vrbo, Travelocity, Egencia, Hotwire, Orbitz, eBookers, CheapTickets, CarRentals, Expedia Cruises, Wotif un Trivago tas palīdz ceļotājiem atrast un rezervēt lidojumus, naktsmītnes, automašīnu nomu, kruīzus un citus ceļojumu piedzīvojumus. Uzņēmuma tehnoloģijas atbalsta vairāk nekā 200 tīmekļa vietņu vairāk nekā 70 valstīs, apvienojot datus, mākslīgo intelektu un digitālu saziņu ar klientiem, lai uzlabotu ceļojumu plānošanu un rezervēšanu. Expedia Group partneriem nodrošina arī rīkus, ieskatus un infrastruktūru, kas nepieciešama ceļojumu uzņēmumu attīstīšanai un pārvaldīšanai.
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Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisCAKalifornijaWAVašingtona
173 000 $ – 261 500 $ / gads
KlātienēPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuMašīnmācīšanās inženieris

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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.

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USAmerikas Savienotās ValstisAZArizonaCAKalifornijaCOKolorādoCTKonektikutaFLFloridaILIlinoisaKSKanzasaNJŅūdžersijaNYŅujorkaOHOhaioPAPensilvānijaTXTeksasa
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