Machine Learning Engineer III

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 know that 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. We're building a more open world. Join us.

Introduction to the team

Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more

We are looking for a Machine Learning Engineer III to join the Private Label Solutions (PLS) Machine Learning Engineering. You will be part of a team that designs, builds, and maintains the infrastructure for deploying ML solutions, managing data pipelines, and optimizing compute resources for our ranking problems, recommendation engines, and pricing optimization systems. Your work will be crucial in ensuring our ML models are efficiently deployed, scaled, and monitored in production environments, contributing substantial value to our partners and EG.

We're seeking a passionate and experienced ML engineer to join our Revenue Optimization ML team at Expedia Group. This high-impact role combines infrastructure expertise with applied ML knowledge, requiring proficiency in software engineering, distributed systems, and machine learning operations ( MLOps ). You will be responsible for architecting and implementing robust ML systems, collaborating with data scientists to streamline the model development to production pipeline, and optimizing our ML infrastructure for performance and scalability.

This role is well-suited to someone with a solid foundation in at least one of the following areas : software engineering, data engineering, distributed systems, or applied machine learning and a readiness to grow into others as the work requires. Experience or exposure to one or more of the following is valuable: deploying models to production, managing training data pipelines, or optimizing compute resources for low latency inference. We're looking for someone who can quickly adapt to new technologies , understand the broader context of our ML systems, and deliver high-quality solutions efficiently. While this is primarily an individual contributor role, you will also be expected to mentor junior team members and provide technical guidance that drives both business impact and team growth.

We welcome candidates who are strong, language-agnostic problem solvers and passionate about building robust ML systems , even if you don't meet every single requirement listed below. If you believe you can do the job and are excited to grow with us, we'd love to hear from you.

In this role, you will:

• Design and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments.

• Build and maintain efficient data pipelines for large-scale processing and feature engineering.

• Optimize compute resources and improve model serving performance across ML systems.

• Implement robust monitoring, logging, and alerting systems, and contribute to ML Ops practices including CI/CD pipelines.

• Collaborate closely with ML scientists to streamline the model development-to-production workflow.

• Research and integrate new technologies , mentor junior engineers, and communicate technical solutions to diverse stakeholders.

Experience and qualifications:

• You hold a Bachelor's or Master's degree in Computer Science , Software Engineering, or a related technical field.

• You have 3+ years of experience in Software, Data, or ML engineering roles (preferred).

• You bring strong problem-solving skills, proficiency in Python, and experience with ML frameworks like TensorFlow or PyTorch .

• You understand ML algorithms, model architectures, and enjoy building scalable, reliable ML systems.

• You have exposure to cloud platforms (e.g., AWS, GCP), containerization (Docker, Kubernetes), and scalable data systems (e.g., Spark, Kafka).

• You are familiar with CI/CD tools (e.g., GitHub Actions), ML model serving technologies (e.g., MLflow ), and collaborate well across teams.

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 .

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

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 . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50

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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, religion, gender, sexual orientation, national origin, disability or age.