Senior ML Scientist - Search & Auction Systems

11310 Expedia.com Ltd.; Greater London; Sur place; GBP 120 000 - 160 000; Plein temps

Résumé du poste

Expedia Group in London seeks a Senior Machine Learning Scientist to provide technical leadership for Search Marketing & Tech. You will own end-to-end ML solutions from problem framing to production, collaborating with engineering, product, and business stakeholders to deliver measurable impact.

The role emphasizes building and deploying production-grade ML models (tree-based, deep learning, RL) with robust pipelines, observability, and experimentation strategies to optimize bidding and ranking

Qualifications

• Master’s or PhD in Computer Science, Statistics, or related field, or equivalent industry experience with 6+ years (MS) or 4+ years (PhD) of ML experience.
• Proven track record leading complex, multi-stakeholder production ML initiatives with measurable impact.
• Deep ML expertise in supervised/unsupervised learning, tree-based methods, GLMs or deep learning and strong feature engineering.
• Strong experimentation, stats, and ability to design and interpret A/B tests with causal inference methods.

Responsabilités

• Own end-to-end ML solutions from problem framing and metric design through data exploration, model development, deployment, and post-launch iteration.
• Lead multi-quarter ML initiatives, defining technical direction and architectures for scalable production systems.
• Collaborate with engineering, product, and business stakeholders to align roadmaps and drive measurable impact.
• Mentor other data and ML scientists, establish best practices, and promote reusable patterns.

Connaissances

Machine learning

Python

SQL

Pandas

NumPy

scikit-learn

PyTorch

TensorFlow

Model deployment

Communication

Formation

Master's or PhD in CS/Stats/OR

Outils

Spark

Hive

Git

CI/CD for ML

Feature stores

Monitoring

Description du poste

Expedia Group in London seeks a Senior Machine Learning Scientist to provide technical leadership for Search Marketing & Tech. You will own end-to-end ML solutions from problem framing to production, collaborating with engineering, product, and business stakeholders to deliver measurable impact.

The role emphasizes building and deploying production-grade ML models (tree-based, deep learning, RL) with robust pipelines, observability, and experimentation strategies to optimize bidding and ranking