Lead, hire, and develop machine learning engineers; foster an inclusive culture that provides career growth and guidance for MLEs at all levels while pushing the boundaries on new methodologies and technologies.
Partner with product and analytical teams to pioneer new uses of ML and optimize existing use cases.
Own the ML systems roadmap with platform, data, and product leadership; size opportunities, prioritize capabilities, and secure alignment and resourcing with senior stakeholders.
Partner with platform, infrastructure, and ML platform teams on training, serving, feature pipelines, and operational needs for personalization and search.
Partner with downstream application teams on stable interfaces between ML capabilities and the website, mobile apps, and editorial tools.
Guide design and delivery of ML in production: monitoring, validation, iteration based on live impact—not offline metrics alone.
Represent ML/AI clearly to editorial and business audiences; translate goals into investments and non-negotiables (trust, corrections, safety).

Advanced degree (Master’s or PhD) in Computer Science, Mathematics, Statistics, Information Science, Engineering, or another quantitative discipline—or equivalent depth from industry experience.
8+ years of professional experience building machine learning and data-science-driven systems with a proven record of innovation and measurable product or business impact.
5+ years developing and deploying AI/ML systems across the full lifecycle—ideation, proof of concept, deployment, monitoring, and iteration—in Python
Demonstrated technical leadership: a sustained record of leading multi-engineer initiatives, setting technical direction for ML systems, mentoring senior engineers, and partnering across product and platform—through people management, staff/principal-level scope, or an equivalent combination.
Experience deploying complex, large-scale machine learning systems in production; practical familiarity with ML modeling and the operational realities of live models.
Strong communication skills and the ability to build trusted partnerships across functions in a fast-paced, high-energy environment.

Director, Machine Learning Engineering

Key skills