Senior Manager, Machine Learning Science

Expedia Group

Location: Austin, Texas, Seattle, Washington

Job Type: Full time


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 Manager, Machine Learning Science

Expedia Group is the global leader in travel. From the practical matters of booking flights, cars, hotels, packages, local activities, or vacation rentals to the realization of dreams and bucket lists, we cover the entire breadth of this deep and varied relationship. We team up with our partners to provide outstanding offers to our customers. Some of our partners are huge brands, and some are individuals with a studio apartment to rent. Our customers are diverse, and we seek to deliver value and a great experience. Our technical challenges are endlessly sophisticated and yet meaningful and exciting.

We are looking for a Senior Manager Machine Learning Science to lead our growing Natural Language & Content AI team. This position focuses on the development and optimization of Expedia’s Natural Language and Computer Vision (CV) models such as Natural Language Processing/Understanding (NLP/NLU), Named Entity Recognition (NER), Question Answering (Q&A), and Image Classification. Innovation and developing cutting-edge technology as well as implementing industry-leading solutions are key responsibilities of this team. The machine learning models and algorithms developed by this team will improve the experiences of millions of travelers and travel partners each year.

What you’ll do:

  • Manage a team of Machine Learning Scientists that develops Natural Language AI (NLP) and Computer Vision (CV) models with superior performance to power Expedia’s Travel platform

  • Set the direction of the team including the areas of focus, technologies to be developed, algorithms to experiment with, and machine learning approaches to research on

  • Expand the team, hire new talent, coach junior team members, conduct performance appraisals, provide feedback

  • Collaborate with the internal stakeholders, define project scope, success criteria, performance metrics, and communicate the results

  • Assist the team to apply best-in-class machine learning techniques to solve the business problems at hand

  • Produce novel insights with machine learning to advise company strategy

  • Communicate sophisticated concepts and the results of the analyses in a clear and effective manner

  • Collaborate with other leaders including, machine learning science managers and machine learning engineering managers to formulate innovative solutions

Who you are:

  • Master's or Ph.D. in Computer Science, Computational Linguistics, Statistics, Math, Engineering, or equivalent related professional experience

  • 5+ years of experience in NLP, CV, Deep Learning, Data/Machine Learning Science

  • 2+ years of experience managing at least 4 Machine Learning Scientists or similar roles as direct reports

  • 2+ years of experience in industrial applications of machine learning

  • Strong track record of publishing in peer reviewed journals and conferences

  • Expert knowledge of programming languages such as Python or R

  • Expert knowledge and expertise in TensorFlow and/or PyTorch

  • Advanced domain knowledge (NLP, CV, Deep Learning etc.), business acumen (understanding the underlying business objectives), and critical reasoning skills

The total cash range for this position in Austin is $161,500 to $226,000. Employees in this role have the potential to increase their pay up to $258,500, 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 $161,500.00 to $226,000.00. Employees in this role have the potential to increase their pay up to $258,500.00, 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®,®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®,™, 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 The official website to find and apply for job openings at Expedia Group is

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.
You’ve got this!