501-1000 employees
Develop and optimize ads ranking models, including CTR/CVR prediction and user-history modeling, while taking end-to-end ownership of machine learning systems. Collaborate with cross-functional teams to define ranking objectives, design experiments, and integrate scalable solutions into production.
You will own high-impact problem spaces by framing questions, conducting analyses, and implementing solutions in partnership with cross-functional teams. Additionally, you will design experiments, analyze root causes of metric movements, and mentor other data scientists to advance team standards.
You will own impactful problem spaces by framing questions, conducting analyses, and implementing solutions with cross-functional partners. Additionally, you will design and evaluate experiments to measure the impact of product changes and uncover root causes of metric movements.
The role involves partnering with engineering teams to review cloud architecture and establish threat models to identify security risks. You will develop automation tools for threat detection, harden cloud infrastructure and OS, and participate in incident response triage.
Build and maintain SIEM infrastructure to detect and alert on malicious behavior across corporate and production environments. Manage corporate security controls, endpoint protection, and Zero-Trust VPN implementation while providing security advisory to non-technical teams.
