Founding Engineer – ML Demand Generation is a Machine Learning Engineer role (full-time). with LLMs. in MOUNTAIN VIEW, US. Compensation shown: $220K–$300K. Imported listing (source: flexgen.zya.me). Apply on the employer's site (flexgen.zya.me).
Imported listing (source: flexgen.zya.me) · Apply on flexgen.zya.me
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Imported job description
Sourced from flexgen.zya.me
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.
“LLMs” is not uniquely identifiable as a company in the supplied results. The closest identifiable result is NAVER’s CLOVA AI business, which develops and operates HyperCLOVA X and CLOVA Studio for enterprise large-language-model applications.