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Job Description
- Manage the end-to-end Machine Learning development lifecycle, from experimentation to continuous self-improvement, to accelerate modeling Research and Development (R&D) velocity across AdsML.
- Partner with modeling, infrastructure, and research teams to drive long-term Ads business objectives.
- Lead the adoption of agentic engineering tools for model development, focusing on multiplying developer velocity and establishing guardrails.
- Govern development and execution of feature planning, prioritization and operations in AdsML.
- Evaluate team progress and risks in order to manage executive stakeholder expectations.