As a integral travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
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 Expedia Group B2B Applied Machine Learning Team. 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.
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.
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.
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 have exposure to cloud platforms (e.g., AWS, GCP), containerization (Docker, Kubernetes), and scalable data systems (e.g., Spark, Kafka).
GitHub Actions), ML model serving technologies (e.g., The total cash range for this position in Madrid is €55,500.00 to €78,000.00. Employees in this role have the potential to increase their pay up to €89,000.00, 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. Benefits and perksExpedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. About Expedia GroupExpedia Group includes three flagship consumer brands
- Expedia, Hotels.
Across our brands and business, we help travelers explore the world with confidence and ease.
All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
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📌 Machine Learning Engineer (Madrid)
🏢 Expedia Group
📍 Madrid