Lead Machine Learning Engineer

The Lead Machine Learning Engineer is a senior individual contributor who provides technical leadership for complex machine learning systems and the data foundations required to operate them. This role applies machine learning techniques in code to build predictive systems at scale for identity, audience, and cross-platform measurement.

Requirements

• Lead development, training, and deployment of advanced ML models for identity resolution, look-alike modeling, and cross-platform measurement
• Architect scalable ML platforms and reusable components that operate across distributed cloud and platform environments
• Lead data and feature foundations: define data contracts, metadata/lineage expectations, and automated quality controls
• MLOps & reliability: establish CI/CD patterns, model versioning/registry practices, automated evaluation, drift detection, monitoring dashboards/alerts, and operational playbooks for sustained production health
• Cross-functional technical leadership: drive design reviews, clarify technical requirements, and lead multi-quarter initiatives
• Mentorship & enablement: mentor engineers through code/design reviews; build shared libraries and best practices
• Privacy, governance & compliance: ensure privacy-by-design practices, PII safeguards, documentation, and audit readiness

Benefits

• Medical, financial, and/or other benefits