Das ist der Job
Use AI to accelerate analysis and iteration on model ideas an
Darum lohnt es sich
What you’ll do: Attract, hire, develop, and lead a hybrid team of ML engineers and backend software engineers, fostering strong collaboration across modeling and infrastructure and building an inclusive, high‑performing environment where the team can deliver end‑to‑end solutions.
Lead a team responsible for the strategy, execution, and operational excellence of identity and conversion signal modeling systems (e.g., user match prediction, conversion type/value prediction, probabilistic attribution and deduplication) that improve match precision/recall and downstream conversion quality across web and app surfaces.
Collaborate closely with Ads Ranking & Bidding, Measurement Products, and Conversion Ingestion & Attribution teams to define interfaces, SLAs, and success metrics that enable end‑to‑end identity and conversion visibility systems – including models, data pipelines, and serving surfaces – to integrate cleanly into the broader ads ecosystem.
Establish engineering best practices across both ML and backend development, including data quality, feature and data pipelines, model evaluation, experimentation, service reliability, and operational excellence, so the team can build trustworthy ML‑powered systems end to end.
Partner closely with product managers, data scientists, and tech leads to shape problem definitions, translate business needs into technical strategy, and drive execution toward high‑impact outcomes.
