Principal ML Scientist – Ranking & Retrieval

Principal ML Scientist – Ranking & Retrieval

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
TripAdvisor LLC

At a Glance

  • Tasks: Lead the discovery engine for ranking, retrieval, and recommendations using advanced machine learning.
  • Company: Tripadvisor LLC, a global leader in travel and experiences.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team in a vibrant city with endless career possibilities.
  • Why this job: Shape the future of travel with cutting-edge AI and impactful projects.
  • Qualifications: Expertise in machine learning, MLOps, and team leadership.

The predicted salary is between 63000 - 77000 Β£ per year.

Tripadvisor LLC in London, United Kingdom is seeking a Principal Machine Learning Scientist to lead the core discovery engine for ranking, retrieval, and recommendations.

You will define the ML strategy, build scalable systems, and mentor a high-performing team across machine learning, MLOps, and experimentation.

You will drive multi-task models, graph-aware representations, and agentic AI approaches to improve user search, discovery, and itineraries at scale within the Trips vertical.

#J-18808-Ljbffr

Principal ML Scientist – Ranking & Retrieval employer: TripAdvisor LLC

At Tripadvisor Group, we pride ourselves on being an exceptional employer, particularly for the role of Product Data Scientist in London. Our vibrant work culture fosters collaboration and innovation, empowering employees to grow their skills in a data-driven environment while contributing to meaningful travel experiences. With a commitment to professional development and a supportive atmosphere, we offer unique opportunities to engage with cutting-edge analytics methods and make impactful decisions that shape the future of travel.

TripAdvisor LLC

Contact Details:

TripAdvisor LLC Recruitment Team

We think you need these skills to ace Principal ML Scientist – Ranking & Retrieval

Machine Learning
MLOps
Scalable Systems Design
Multi-task Models
Graph-aware Representations
Agentic AI Approaches
Mentoring