Tech Stack

Description

You'll lead identity and conversion signal modeling for Pinterest's ads marketplace, ensuring accurate, privacy-preserving performance visibility for advertisers. You'll own major initiatives end-to-end, build ML components, set technical direction, and collaborate across teams to connect onsite activity with offsite conversions.

Requirements

• Experience building and deploying large-scale ML systems in production (ads, measurement, ranking, search) with end-to-end ownership.
• Degree in computer science, machine learning, statistics, or related field.
• Experience with ads conversion, identity/user matching, or measurement domains under privacy/signal-loss constraints.
• Expertise in probabilistic modeling and measurement (identity prediction, cohort-to-user inference, modeled conversions, data-driven attribution).
• Proven Staff-level technical leadership as a hands-on IC, setting technical direction and driving multi-quarter roadmaps.

Responsibilities

• Lead design and implementation of identity and conversion signal models (user match prediction, conversion type/value prediction, probabilistic attribution, deduplication).
• Own major identity prediction initiatives end-to-end: problem framing, label/feature design, offline evaluation, production deployment, online experimentation.
• Build and evolve ML-powered components in conversion visibility pipeline; partner with infra teams for scalable, low-latency systems.
• Establish ML development best practices in data quality, feature pipelines, evaluation, experimentation; mentor engineers.
• Collaborate with Ads Ranking Bidding, Measurement Products, and Conversion Ingestion Attribution teams on interfaces, SLAs, and success metrics.