Lead AI Engineer
Core
Designing and building production-grade machine learning architectures, personalization systems, and real-time serving infrastructure for a search and discovery platform.
Role type
Lead AI Engineer (Machine Learning Systems)
Builds
Scalable personalization and relevance systems, high-velocity model training pipelines, low-latency model serving infrastructure, and experimentation platforms.
Domain
Internet search, discovery, and transaction platforms; large-scale sequential behavioral modeling.
Deliverable
production ML models
Required skills
Large-scale personalization, recommendation and ranking systems, sequential behavioral modelling, real-time ML serving, privacy-preserving ML at architecture level, production software engineering discipline for systems beneath ML layer
Preferred skills
PhD in Machine Learning/CS, prior experience as technical lead/staff/principal engineer, background from world-class ML companies (Spotify, Klarna, Google, Meta, OpenAI, DeepMind), research publications
Technologies
(Not explicitly listed as tools/frameworks)
Responsibilities
Design end-to-end ML architectures including data pipelines and feature engineering; Build scalable personalization systems processing high-volume sequential data; Develop high-velocity model training pipelines; Design and operate low-latency model serving infrastructure; Create comprehensive experimentation and evaluation platforms; Establish ML engineering standards for code quality and monitoring
Seniority
Lead, hands-on IC with mentorship responsibilities
