Traveltechessentialist
Machine Learning Engineer II
Austin, Texas, United States
Technology
Full?Time Regular
10/20/2025
ID # R-98226-1
Expedia Group brands power global travel for everyone, everywhere. We design cutting?edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated, and when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time?off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. Were building a more open world. Join us. Introduction to the Team
Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high?quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Search and Recommendations Machine Learning Engineering (MLE) team within the Multi?Channel Shopping organization at Expedia Group is responsible for advancing Ranking, Recommendations, Text Search, and Traveler Insights across Expedia, Hotels.com, and Vrbo. This high?impact team plays a critical role in shaping the user shopping experience across multiple brands. Operating in a fast?paced environment, the team leverages cutting?edge AI technologies and continuously evolves with emerging trends to optimize key business metrics, including click?through rate, conversion rate, and gross profit. This work directly aligns with Expedia Groups strategic priorities and core principlesdelivering exceptional traveler experiences and making travel more accessible and rewarding for people around the world. We are seeking a dynamic and highly motivated Machine Learning Engineer II to help us meet our goals of leading the development of ML?powered features that enhance the traveler experience across Expedia Group brands by working closely with cross?functional teams to design and scale systems for Ranking, Recommendations, Pricing, and Search. This includes rapid prototyping of innovative ideas, contributing to all phases of the ML lifecycle, and integrating generative AI into production workflows. Team members are expected to bring strong technical judgment to system design and actively shape the teams technical direction. In this role, you will: Design and develop moderately complex, testable, and observable systems; contribute to architectural discussions, especially for big data and ML applications. Build APIs and services for use across business units, ensuring reusability and scalability. Understand how technical work supports business goals; identify and solve project?level business problems with minimal guidance. Coordinate with stakeholders across engineering, product, and data to align priorities and deliver shared solutions. Identify inefficiencies in code and systems; propose improvements and innovations in ML engineering, platforms, and tooling. Ensure performance, scalability, and reliability of systems through monitoring, testing, and adherence to SLAs. Lead code reviews, mentor peers, and contribute to a culture of engineering excellence and best practices. Document and present findings (e.g., RCAs or tech deep dives) clearly to both technical and non?technical audiences. Apply systems thinking to identify process or policy improvements that scale beyond immediate teams or projects. Participate in communities of practice, promote shared learning, and foster a culture of knowledge exchange.
Minimum Qualifications
Bachelors or Masters degree in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. 2+ years of experience in software or machine learning engineering with a Masters degree, or 3+ years of experience with a Bachelors degree. Experience building and maintaining at least one end?to?end machine learning pipeline in production, from feature engineering to scalable inference. Proficiency in Python and experience developing software in at least two other programming languages across multiple tech stacks.
Preferred Qualifications
Proficiency with ML libraries and frameworks such as PyTorch or TensorFlow and common patterns for model serving. Strong command of big data technologies like Spark, including experience training ML models on large datasets with GPUs or distributed compute. Experience using cloud services (e.g., AWS), workflow orchestration tools (e.g., Airflow), and building streaming applications in a cloud environment. Demonstrated application of data structures, design patterns, and software frameworks to write clean, modular, and maintainable code. Experience designing testable systems and using monitoring and debugging tools to ensure system reliability and adherence to SLAs.
The total cash range for this position in Austin is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Expedia Group offers 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 employees passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. 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 employees I?9 to confirm work authorization. #J-18808-Ljbffr
Expedia Group brands power global travel for everyone, everywhere. We design cutting?edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated, and when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time?off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. Were building a more open world. Join us. Introduction to the Team
Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high?quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Search and Recommendations Machine Learning Engineering (MLE) team within the Multi?Channel Shopping organization at Expedia Group is responsible for advancing Ranking, Recommendations, Text Search, and Traveler Insights across Expedia, Hotels.com, and Vrbo. This high?impact team plays a critical role in shaping the user shopping experience across multiple brands. Operating in a fast?paced environment, the team leverages cutting?edge AI technologies and continuously evolves with emerging trends to optimize key business metrics, including click?through rate, conversion rate, and gross profit. This work directly aligns with Expedia Groups strategic priorities and core principlesdelivering exceptional traveler experiences and making travel more accessible and rewarding for people around the world. We are seeking a dynamic and highly motivated Machine Learning Engineer II to help us meet our goals of leading the development of ML?powered features that enhance the traveler experience across Expedia Group brands by working closely with cross?functional teams to design and scale systems for Ranking, Recommendations, Pricing, and Search. This includes rapid prototyping of innovative ideas, contributing to all phases of the ML lifecycle, and integrating generative AI into production workflows. Team members are expected to bring strong technical judgment to system design and actively shape the teams technical direction. In this role, you will: Design and develop moderately complex, testable, and observable systems; contribute to architectural discussions, especially for big data and ML applications. Build APIs and services for use across business units, ensuring reusability and scalability. Understand how technical work supports business goals; identify and solve project?level business problems with minimal guidance. Coordinate with stakeholders across engineering, product, and data to align priorities and deliver shared solutions. Identify inefficiencies in code and systems; propose improvements and innovations in ML engineering, platforms, and tooling. Ensure performance, scalability, and reliability of systems through monitoring, testing, and adherence to SLAs. Lead code reviews, mentor peers, and contribute to a culture of engineering excellence and best practices. Document and present findings (e.g., RCAs or tech deep dives) clearly to both technical and non?technical audiences. Apply systems thinking to identify process or policy improvements that scale beyond immediate teams or projects. Participate in communities of practice, promote shared learning, and foster a culture of knowledge exchange.
Minimum Qualifications
Bachelors or Masters degree in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. 2+ years of experience in software or machine learning engineering with a Masters degree, or 3+ years of experience with a Bachelors degree. Experience building and maintaining at least one end?to?end machine learning pipeline in production, from feature engineering to scalable inference. Proficiency in Python and experience developing software in at least two other programming languages across multiple tech stacks.
Preferred Qualifications
Proficiency with ML libraries and frameworks such as PyTorch or TensorFlow and common patterns for model serving. Strong command of big data technologies like Spark, including experience training ML models on large datasets with GPUs or distributed compute. Experience using cloud services (e.g., AWS), workflow orchestration tools (e.g., Airflow), and building streaming applications in a cloud environment. Demonstrated application of data structures, design patterns, and software frameworks to write clean, modular, and maintainable code. Experience designing testable systems and using monitoring and debugging tools to ensure system reliability and adherence to SLAs.
The total cash range for this position in Austin is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Expedia Group offers 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 employees passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. 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 employees I?9 to confirm work authorization. #J-18808-Ljbffr