Founding ML Engineer – Demand Generation

Founding ML Engineer role at a Series A AI/ML infrastructure company focused on model training and evaluation. Based in Mountain View, CA, this on-site position involves building ML systems that power user acquisition, lead conversion, and campaign performance. You will work at the intersection of machine learning and growth, collaborating with marketing and product teams to turn growth goals into intelligent, measurable systems.

• 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 such as PyTorch and TensorFlow.