Build and maintain scalable, reliable ML data platform systems to support dataset generation, model training, analytics, monitoring, and large-scale inference. Collaborate with ML, software, and infrastructure engineers to design cost-efficient data lake and training infrastructure using vendor and open-source tools to enable next-generation ML models.

Design, prototype, and productionize GenAI systems that generate end-to-end ad creatives (including interactive playables). Build robust pipelines, guardrails, and evaluation infrastructure (human-in-the-loop, A/B testing). Partner with creative and product teams, research new model capabilities, and mentor engineers to raise engineering and AI standards.

Build and productionize statistical and ML models to optimize advertiser performance and business goals in mobile ad tech. Tune optimization, model competition and dynamic environments, design experiments, develop budget retention/growth and bidding systems, and collaborate across engineering and business teams while ensuring explainable, well-tested solutions.