Staff Machine Learning Engineer, Ads Creative Effectiveness

Responsibilities

• Advanced Generative Workflows: Architect and implement state-of-the-art pipelines for ad creative generation. You will move beyond vanilla prompting to build systems capable of product, font, logo and brand asset preservation using techniques like IP-Adapters, and LoRAs.
• End-to-End Image & Video Editing
• Build editing capabilities allowing advertisers to smart-crop, inpaint, outpaint, resize, and style-transfer assets while maintaining strict brand guidelines.
• LLM/VLM Fine-Tuning: Adapt large vision-language models to understand "winning" ad aesthetics. You will build feedback loops where ad performance metrics (CTR, CVR) are used to fine-tune the generation process (RLHF/RLPF for Ads).
• Safety & Compliance Layer: engineer robust filtering and safety systems. You ensure our models never generate non-compliant, unsafe, or copyright-infringing content.
• Partner Broadly
• Collaborate with Product, Sales, Policy, UX, and sibling Ads ML teams to integrate ACE capabilities into the Ad Manager UI and the ad delivery path.
• Guardrails & Safety: Embed brand-safety filters, copyright checks, and human-in-the-loop escalation paths to protect users and advertisers.

Languages