About the Role

We are looking for a Founding Engineer to build ML-driven demand generation at a well-funded Series A AI/ML platform company. This role blends data science, machine learning, and growth strategy to power lead generation, personalization, and performance marketing. You will develop ML models, automate demand generation workflows, and design production data pipelines for behavioral analytics and experimentation.

Responsibilities

Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization.
Automate demand generation workflows for audience segmentation and personalized outreach.
Design and maintain production data pipelines for behavioral analytics, targeting, and experimentation.
Partner with marketing and product teams to translate growth goals into measurable ML solutions.
Experiment with LLMs, recommendation systems, and generative AI for content personalization and outreach.
Establish data-driven frameworks for channel optimization and ROI tracking.

Requirements

3–10 years of experience in ML engineering, data science, or growth analytics.
Strong Python proficiency and hands-on experience with PyTorch or TensorFlow and end-to-end ML pipelines.
Proven track record building ML models for lead scoring, conversion prediction, or demand generation outcomes.

LLMs

Paris · FR · 843+ employees

LLMs (Large Language Models) is not a single company but refers to the technology domain of AI labs like Cohere, Mistral AI, and others that develop foundation models. For the purpose of this request, details are provided for Mistral AI, a major developer of open generative AI and large language models.