Founding Engineer - ML Demand Generation

This is a founding-level ML engineering role at an AI/ML data and services company, sitting at the intersection of machine learning and growth. You'll build intelligent systems that directly drive user acquisition, engagement, and revenue — turning data science into measurable demand outcomes.

Build ML models to optimize lead scoring, conversion prediction, and campaign performance.

Automate demand generation workflows, from audience segmentation to personalized outreach.

Design and maintain data pipelines for behavioral analytics, targeting, and experimentation.

Partner with marketing and product teams to translate growth goals into ML-driven solutions.

Experiment with LLMs, recommendation systems, and generative AI for content and outreach.

Establish data-driven frameworks for channel optimization and ROI tracking.

3–10 years of hands-on ML engineering, data science, or growth analytics experience.

Strong Python skills with practical experience in PyTorch and/or TensorFlow for building and deploying models.

Proven track record with data-driven growth systems: lead scoring, conversion prediction, user modeling, or campaign optimization.