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About The Role

Every install we buy starts as a creative someone (or something) made. We're rebuilding that creative pipeline so that *something* is an agent — one that generates thousands of images and videos a day across Meta, Google, TikTok, Pinterest, Reddit, and Snap; watches CPI and ROAS come back; and gets sharper every cycle. We're hiring the engineer who owns this agent end-to-end.

What You’Ll Do (Representative Projects)

CPI-feedback creative critic loop — Extend our LLM critic + performance-feedback regeneration from images-only to images + video + copy, all closed-loop, all running unsupervised at thousands of variants per day. 50 per iteration. Generative model router — Pick the right model per brief (Flux Schnell vs Pro, Veo 3, Sora, Runway Gen-3/4, Kling, Hailuo), minimizing $/asset under a quality floor.

Prove your routing strategy in production via A/B. Policy pre-flight checker — Build a VLM (GPT-4o vision / Gemini / Claude vision) that vets every frame and caption against current Meta / Google / TikTok ad policy before upload. Block 100% of would-be-rejected creatives at the source.

Brand-style LoRA / DreamBooth checkpoint — Train and ship on past CPI-winning ads. Deploy serverless on fal / Replicate. A/B against base Flux on real spend.

Event-triggered ad pipeline (video) — Earthquake hits at 14:02 → by 14:12 you have 50 paused video variants in Meta and TikTok, each with platform-specific aspect ratios and locale-specific voiceover. You May Be a Good Fit If You understand diffusion and video models viscerally — you’ve debugged them, trained a LoRA, optimized inference, built a ComfyUI workflow you’d defend in public. 50/asset.

You have public artifacts — a fal demo, a Replicate model, a Civitai upload with >100 downloads, a viral X thread of your generations, a ComfyUI workflow on GitHub. Portfolio matters more than resume. You have scroll-stopping instinct — you know what makes someone not swipe past an ad in the first 3 seconds.

You think about cost as a first-class design constraint — $/asset, $/click, $/install. Cost arbitrage between model tiers is something you’ve actually shipped. You’ve read Meta Advertising Standards / TikTok branded-content rules end-to-end — policy is a pre-deploy gate, not a post-mortem.

You’re a builder — Idea → working pipeline → first 100 ads shipped → CPI data back → tighter loop. ” Strong Candidates May Also Have Pretrained or significantly advanced a VLM (not just SFT’d or LoRA’d one). Open-sourced a ComfyUI custom node, a diffusers extension, or a Replicate model with real traction.

AI Engineer, Agentic Ad Creative (Multimodal)