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Founding ML Engineer – Demand Generation
Summary by AIEngineer.careers
Founding ML Engineer – Demand Generation is a Machine Learning Engineer role (full-time). with LLMs. in 김제시, KR. Compensation shown: $220K–$300K. Imported listing (source: remoteforge.2kool4u.net). Apply on the employer's site (remoteforge.2kool4u.net).
Imported listing (source: remoteforge.2kool4u.net) · Apply on remoteforge.2kool4u.net
김제시 · KR
$220K–$300K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from remoteforge.2kool4u.net
Founding ML Engineer role at a Series A AI infrastructure company building ML systems for demand generation, lead scoring, conversion prediction, and campaign optimization. You will collaborate with marketing and product teams, design data pipelines, and experiment with LLMs and generative AI for outreach automation. This is an on-site role based in Mountain View, CA.
Responsibilities
- 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.
Requirements
- 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 production.
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
LLMs
Unknown · XX · 843+ employees
“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.
