CareerPlan

Machine Learning Engineer, Evaluation, Agentic Search Capabilities

Cupertino, United States of AmericaFull-time2026-10-09 → 2026-11-10

Core

Build scalable, automated systems for large-scale end-to-end evaluation of personalized agentic search models and search-powered systems.

Role type

Senior Machine Learning Engineer (Evaluation)

Builds

Evaluation systems, data generation pipelines, and quality metrics for personalized agentic search

Domain

Consumer technology, Personalized Search, NLP, Information Retrieval

Deliverable

production ML models

Required skills

Python, C/C++, Large-scale system design, Data generation methodologies, Data quality assessment, Offline and online metrics design, Statistical model evaluation

Preferred skills

Production ML systems in search/NLP/IR, Multi-modal data handling, Executive-level presentation

Technologies

Python, C/C++