About MadMen AI
MadMen AI is a seed-stage AdTech startup based in Burlingame, CA. Our co-founders, Aman Jain and Vinay Jain, have spent more than a decade building Ad products at Twitter, Facebook, Instagram, and WhatsApp. We raised $4.5m from top VCs and angels, including Wing, Patron, Samsung, Balaji, and many more.
MadMen AI’s vision is to make an AI-powered ad agency accessible to every marketer. Imagine an AI that combines Don Draper’s creative genius with the sophisticated data-backed approach of a hedge-fund manager. Such expertise is typically limited to the Coca-Colas of the world. By democratizing access to this powerful combination, we’ll help smaller brands stand toe-to-toe with industry titans, and help many more new brands in being created.
The role
We are looking to hire a founding AI engineer to partner closely with the CTO to build novel AI-systems customized for AdTech. This involves fine-tuning LLMs, fine-tuning control-net based Diffusion models, as well as applying traditional ML / Data science on building prediction models.
Over time, the right person will grow into an AI leader in the company and help build out the AI team.
Why join us?
Innovation: Be a part of a team that's at the forefront of reshaping the advertising industry through cutting-edge AI.
Leadership: Wield significant influence over the direction and success of our venture.
Financial upside: All startups have risks, however if we succeed the founding equity for this role will make it a life-changing outcome
Requirements
6+ years of experience in ML, Computer Vision or Diffusion models
Hands-on-experience building with LLMs, including fine-tuning and using RAGs
Proficiency in Python
High independence and comfort with ambiguity
Nice to haves
PhD degree in Computer Science, Computer Vision, or Machine Learning.
AdTech Expertise: Past experience in AdTech ML will help shorten the learning curve.
Responsibilities
Building Models: Spearhead the development of novel AI systems for (1) Ads performance prediction and (2) Ads creative generation. This includes training our own multi-modal (text + image/video) ads performance prediction model (ref), fine-tuning LLMs / Diffusion for on-brand & high-quality creatives (ref), and training a novel transformers based ads layout generation model (ref).
AI Strategy: Lead the formulation and execution of our AI strategy, including how to collect & annotate data, which areas to invest in, and how to sequence efforts to balance short-term goals with long-term vision.