Expedia Group

A minimum of 4 years of experience as a Data Scientist for e-commerce and /or OTA, preferably with a focus on search ranking, recommender systems, candidate extraction or variesmatching algorithms.. Exposure to Deep Learning applications and tools like TensorFlow, PyTorch, Caffe is a plus.. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.. 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™.. 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.

machine learning scientist

If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form. This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application.
Senior Machine Learning Scientist
The Traveler Recommendation Data Science team is a geographically distributed team across Austin, Seattle and London offices with a good composition of junior and senior of 11 machine learning scientists. The mission of the team is to build state of art algorithms to help our travelers to find the right traveling Product that fit their needs. Our AI algorithms powers recommendations on hotels, vacation rentals, car, destinations, air, activity and packages.

This role is for a Machine Learning Scientist to join our fast-growing Machine Learning Science team. We create and innovate state-of-the-art machine learning algorithms to make our recommendation platform more effective and efficient, increasing its relevance for travelers worldwide. We collaborate closely with the engineers, product, and other data science teams to create the top-notch recommendation platform in the traveling industry.
What you’ll do:
Build a scalable, real-time, in-session personalization recommender systemsdrive various personalized recommendation scenarios.
Implement and compare supervised learning models (e.g. LR, GBDT and DNNs, RNNs) or transformer, embedding, ensembles of models, to improve metrics often with multiple contending objectives (i.e. relevance, degree of personalization, average value of booking, gross profit).
Develop brand-new learning frameworks for multiple carousels ranking and whole page optimization.
Take end to end ownership of large and scalable machine learning systems - from data pipelines, feature engineering, candidates' extraction, model training as well as integration into our production systems.
Incorporatethe latest academic and published research including neural network, transformers and reinforcement learning domains.
Work closely with product managers, data scientists/engineers and designers on product teams to offer item recommendations for millions of users.
Communication and presentation:
You will build clear, concise and well-structured functional material (e.g. policies & and procedures, guidelines, presentations, messages) and recommend improvements to existing material.
You will communicate a compelling rationale and narrative to peers and partners.
You will influence action and results through writing clearly in an accessible way for a wide audience. Anticipate questions, structuring presentations around a clear narrative, and is concise in what's included. Present clearly and engagingly.
You will communicate across various levels of the organization, tailor messages to audience and filters relevant information.
Stakeholder and project management:
You will frame challenging business problems as a data science problem and concrete set of tasks.
You will leverage others’ skills, knowledge and expertise effectively in problem solving and delivering impact.
You will manage stakeholders with frequent communication, expectation management, meeting deadlines and minimizing surprises.
You will manage the backlog well, including across large cross-functional teams. Deliver projects to maximize business impact in sync with wider business timing.
Who you are:
Advanced degree in Computer Science, Data Science, AI, or related fields. PhD preferred.
A minimum of 4 years of experience as a Data Scientist for e-commerce and /or OTA, preferably with a focus on search ranking, recommender systems, candidate extraction or variesmatching algorithms.
Experience leading ML initiatives with a proven track record of implementing and productionizing these models in large scale industrial settings. Demonstrated understanding of the limitations of selected methods.
Solid MLOps practices includegood design documentation, unit testing, integration testing and source code control (git). Exposure to Deep Learning applications and tools like TensorFlow, PyTorch, Caffe is a plus.
Demonstrated ability to build and maintain multiple data science project/product in production environments.
Have significant experience in at least one major ML programming language (Python, Scala…) and familiar with others.
The total cash range for this position in Austin is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
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™.
© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
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.

START NEW SEARCH