Member of Technical Staff (Machine Learning Engineer, Ranking Quality - Search)

27 days ago

Berlin, Germany or London, United KingdomSenior

Responsibilities

Improve search quality through models, data, evaluation, infrastructure, and other available leverage.
Own ranking-quality problems end to end by defining evaluations, identifying bottlenecks, building solutions, and shipping them safely.
Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches when appropriate.
Build and operate ranking infrastructure for feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring.
Balance quality, latency, reliability, cost, and engineering complexity.
Collaborate with Data, AI, Infrastructure, and Product teams while retaining ownership of the final quality outcome.

Deep understanding of search or recommender systems and their evaluation.
Proven ownership of a large-scale production ranking system or substantial quality-problem domain.
Strong machine-learning and software-engineering skills across data, models, serving, and monitoring.
Ability to drive ambiguous, cross-team problems without continuous task decomposition.
Exceptional depth in modern neural ranking methods or low-latency ranking systems and runtime.
At least five years of relevant industry experience.

1,001-5,000 employees

The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.