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Senior Machine Learning Scientist
We are looking for a Senior Machine Learning Scientist to join our
growing Traveler Voice & Content team. This position focuses on the
development and optimization of Expedia’s AI models including Natural
Language, Computer Vision, Multi-modal, and Generative AI models.
The ideal candidate for this position is a true deep learning expert who
can develop effective AI solutions irrespective of modality. Innovation
and developing cutting-edge technology as well as implementing
industry-leading solutions are key responsibilities of this role. The
machine learning models and algorithms you develop will improve the
experiences of millions of travelers and travel partners each year.
What You’ll Do
• Develop Deep Learning AI models with superior performance to
power Expedia’s Travel platform. Examples include Domain specific
Large Language Models (LLMs), Multimodal models, Mixture of Expert
models, and foundational models.
• Conduct statistical analysis of the model performance using data
collected from the field.
• Optimize existing models for improved accuracy and better
performance.
• Apply best-in-class machine learning techniques to solve the
business problems at hand.
• Produce novel insights with machine learning to advise company
strategy.
• Conduct research and develop novel machine learning algorithms
and solutions.
• Communicate sophisticated concepts and the results of the
analyses in a clear and effective manner.
• Collaborate with other machine learning scientists, data
scientists, and machine learning engineers to formulate innovative
solutions to experiment and implement sophisticated modeling
techniques.
Who you are:
• Master's Degree or Ph.D. in Computer Science, Statistics, Math,
Engineering or equivalent experience.
• Preferred: 5+ years of experience in Computer Vision and/or
Natural Language Processing and/or Multi-modal models, Deep
Learning, Data/Machine Learning Science.
• Expert knowledge of Python programming language.
• Strong knowledge and expertise in TensorFlow and/or PyTorch.
• Proven knowledge of processing and analyzing large scale data
volumes, semi-structured and unstructured data and near real-time
throughput.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
About Expedia Group
Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.
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Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
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.Yearly based
Washington - Seattle Campus