Founding ML Engineer – Demand Generation

Founding ML Engineer role at a Series A AI/ML infrastructure company, applying machine learning to demand generation. You will build and deploy ML models for lead scoring, conversion prediction, and campaign optimization, and use LLMs and generative AI to automate outreach and content creation. This role is on-site in Mountain View, CA.

• Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization.
• Automate demand generation workflows, including audience segmentation and personalized outreach at scale.
• Design and maintain data pipelines for behavioral analytics, targeting, and A/B experimentation.
• Collaborate with marketing and product teams to translate growth objectives into ML solutions.
• Experiment with LLMs, recommendation systems, and generative AI for content creation and outreach automation.
• Establish data-driven frameworks for channel optimization and ROI tracking.

• 3–10 years of hands-on ML engineering, data science, or growth analytics experience.
• Direct exposure to demand generation, lead scoring, or campaign optimization in a production environment.
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Proven experience building and deploying data pipelines for behavioral analytics, segmentation, and experimentation.