Founding AI/ML Engineer ($200-250K + Equity) at Generalcatalyst.com
Jack & Jill, San Francisco, CA, United States
Job Title:
Founding AI/ML Engineer
Salary:
$200-250K + Equity
Company Description:
Generalcatalyst.com - AI startup pioneered by Princeton researchers and a GPT co‑creator.
Job Description:
Join the founding team at Curium to build Generative Engine Optimization (GEO), the next frontier of marketing for AI search. You will bridge research and production, transforming novel black‑box optimization algorithms into scalable ML systems. This high‑impact role involves building the infrastructure that helps brands gain visibility in systems like Perplexity and ChatGPT.
Location:
San Francisco, USA
Why this role is remarkable:
Work directly with a world‑class founding team including a Princeton Professor who co‑created GPT at OpenAI and holds 78K+ citations.
Define a brand‑new category of AI technology, GEO, which has already demonstrated 40% visibility improvements on commercial generative engines.
Secure a founding‑level equity stake in a company backed by top‑tier Silicon Valley venture firms and well‑capitalized for rapid scale.
What you will do:
Design and build end‑to‑end ML pipelines including data processing, model training, and production‑grade deployment.
Translate cutting‑edge black‑box optimization research into robust, high‑performance systems that serve enterprise customers at scale.
Own the core ML infrastructure and collaborate on algorithm iteration to outpace the evolution of dynamic AI search engines.
The ideal candidate:
Possesses strong NLP and LLM fundamentals with hands‑on experience training and fine‑tuning models rather than just calling APIs.
Demonstrates a proven track record of shipping production ML systems that serve real‑world users in high‑growth environments.
Exhibits research fluency to engage with PhD founders while maintaining a builder mentality to ship fast and own problems end‑to‑end.
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Founding AI/ML Engineer
Salary:
$200-250K + Equity
Company Description:
Generalcatalyst.com - AI startup pioneered by Princeton researchers and a GPT co‑creator.
Job Description:
Join the founding team at Curium to build Generative Engine Optimization (GEO), the next frontier of marketing for AI search. You will bridge research and production, transforming novel black‑box optimization algorithms into scalable ML systems. This high‑impact role involves building the infrastructure that helps brands gain visibility in systems like Perplexity and ChatGPT.
Location:
San Francisco, USA
Why this role is remarkable:
Work directly with a world‑class founding team including a Princeton Professor who co‑created GPT at OpenAI and holds 78K+ citations.
Define a brand‑new category of AI technology, GEO, which has already demonstrated 40% visibility improvements on commercial generative engines.
Secure a founding‑level equity stake in a company backed by top‑tier Silicon Valley venture firms and well‑capitalized for rapid scale.
What you will do:
Design and build end‑to‑end ML pipelines including data processing, model training, and production‑grade deployment.
Translate cutting‑edge black‑box optimization research into robust, high‑performance systems that serve enterprise customers at scale.
Own the core ML infrastructure and collaborate on algorithm iteration to outpace the evolution of dynamic AI search engines.
The ideal candidate:
Possesses strong NLP and LLM fundamentals with hands‑on experience training and fine‑tuning models rather than just calling APIs.
Demonstrates a proven track record of shipping production ML systems that serve real‑world users in high‑growth environments.
Exhibits research fluency to engage with PhD founders while maintaining a builder mentality to ship fast and own problems end‑to‑end.
#J-18808-Ljbffr