Staff Machine Learning Engineer, Ads Creative Effectiveness
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El puesto
Lead the design and implementation of advanced generative workflows for ad creative, preserving brand assets (fonts, logos, and typography).
Build end-to-end image and video editing capabilities (smart-crop, inpaint/outpaint, resize, style transfer) under strict brand guidelines.
Fine-tune LLMs and VLMs and deploy feedback loops where CTR and CVR guide generation (RLHF/RLPF for Ads).
Design production-grade, low-latency inference stacks for diffusion and transformer models, balancing quality, cost, and speed.
Develop robust safety, brand-safety, and copyright-compliance layers with human-in-the-loop escalation.
Collaborate with Product, Sales, Policy, UX, and other ML teams to integrate ACE capabilities into the Ad Manager UI and delivery path.
Build end-to-end image and video editing capabilities (smart-crop, inpaint/outpaint, resize, style transfer) under strict brand guidelines.
Fine-tune LLMs and VLMs and deploy feedback loops where CTR and CVR guide generation (RLHF/RLPF for Ads).
Design production-grade, low-latency inference stacks for diffusion and transformer models, balancing quality, cost, and speed.
Develop robust safety, brand-safety, and copyright-compliance layers with human-in-the-loop escalation.
Collaborate with Product, Sales, Policy, UX, and other ML teams to integrate ACE capabilities into the Ad Manager UI and delivery path.
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