Dieses Stellenangebot ist nicht mehr verfügbar
Machine Learning Engineer
Expedia Group
- London, England, United Kingdom
- London, England, United Kingdom
Über
Our platform enables brands to leverage Expedia’s global network of leading travel brands and sites, offering a diverse portfolio of advertising and sponsorship opportunities. With over 200 branded sites in 75 countries and 35 languages, we help advertisers reach 112 million monthly unique visitors. As a Machine Learning Engineer III on this team, you will design and implement scalable machine learning systems that optimize ad selection, campaign performance, and creative personalization at a global scale. You will work in a highly collaborative environment with ML scientists and software engineers to deliver impactful solutions for the advertising domain. In this role, you will:
Design, implement, and maintain large‑scale machine learning pipelines for advertising use cases, including feature engineering, model training, validation, and deployment. Build real‑time and batch data processing systems to support ad targeting, campaign optimization, and experimentation. Collaborate with ML scientists and software engineers to integrate ML models into production systems and deliver measurable business impact. Develop APIs and services that enable ML‑driven advertising solutions across Expedia Group’s global platform. Optimize Spark‑based applications for large‑scale data processing and ensure system reliability and performance. Implement strategies for training models on massive datasets using distributed computing and GPU acceleration. Contribute to design discussions and code reviews, ensuring best practices in ML engineering and software development. Mentor junior engineers and share knowledge within the team and broader engineering community. Continuously explore new technologies and methodologies to improve ML systems and advertising solutions. Participate in a community of practice to share and gain knowledge across the organization. Required qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience. 5+ years of professional experience with a Bachelor’s degree OR 3+ years with a Master’s degree. Proven experience building and deploying ML pipelines in production environments. Strong programming skills in Python and at least one other language (e.g., Scala or Java). Expertise in Spark and distributed data processing frameworks. Proficiency with ML libraries such as PyTorch and TensorFlow. Experience with cloud platforms (AWS, EMR, Kubernetes, Docker) and ML platforms (Databricks, SageMaker). Familiarity with workflow management tools (e.g., Airflow). Strong understanding of software design principles, data structures, and design patterns. Ability to debug, test, and monitor complex systems effectively. Experience with real‑time applications and streaming architectures. Knowledge of advertising technology, e‑commerce, or travel industry. Hands‑on experience with large‑scale model training and optimization using GPUs or distributed systems. Location: London, England, United Kingdom Employment type: Full‑time Seniority level: Mid‑Senior level Job function: Engineering and Information Technology Industries: Software Development, Internet Marketplace Platforms, and Travel Arrangements
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.