Founding ML Engineer – Demand Generation

About the company

Clera is a talent-matching platform that replaces traditional job applications by connecting candidates and hiring teams through curated introductions.

About this role

ABOUT THE ROLE A fast-growing Series A AI model training and evaluation company — headquartered in Mountain View, CA and working with top frontier AI labs — is hiring a Founding ML Engineer focused on Demand Generation. This is a rare opportunity to sit at the intersection of machine learning and growth strategy, building intelligent systems that directly drive user acquisition, conversion, and retention at scale. You'll own the end-to-end development of AI-powered demand generation infrastructure: from lead scoring models and behavioral analytics pipelines to LLM-driven personalization and campaign optimization. Think of it as engineering meets growth — where the models you ship create measurable business impact. This role is on-site in Mountain View, CA. No remote or hybrid option is available. Candidates must be authorized to work in the United States without employer sponsorship. WHAT YOU'LL DO - Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization. - Automate demand generation workflows end-to-end — from audience segmentation to personalized outreach. - Design and maintain data pipelines for behavioral analytics, audience targeting, and A/B experimentation. - Partner closely with marketing and product teams to translate growth objectives into measurable ML solutions. - Experiment with LLMs, recommendation systems, and generative AI for content creation and outreach personalization. - Establish data-driven frameworks for channel optimization and ROI tracking across marketing programs. WHAT WE'RE LOOKING FOR Required - 3–10 years of hands-on ML engineering or data science experience, with direct exposure to demand generation, lead scoring, or campaign optimization. - Strong proficiency in Python and ML frameworks (PyTorch and/or TensorFlow) for building and shipping production-grade models. - Proven experience building and deploying data pipelines for behavioral analytics, audience segmentation, targeting, and experimentation. - Hands-on experience with marketing tech stacks and APIs: HubSpot, Salesforce, Google Ads API, Meta Ads API. - Experience experimenting with LLMs, recommendation systems, and generative AI for content and outreach use cases. - Track record of establishing data-driven frameworks for channel optimization and ROI measurement. - A builder's mindset — you move fast, experiment often, and take ownership of measurable outcomes. - Must be authorized to work in the United States without employer visa sponsorship. Nice to Have - Familiarity with growth analytics platforms and performance marketing ecosystems. - Curiosity for applying AI to business outcomes beyond traditional ML use cases. COMPENSATION & BENEFITS - Salary: $220,000 – $300,000 per year, depending on experience. - Founding-level equity and early-stage impact opportunity. - Collaborative, high-velocity team environment working on cutting-edge AI applications. LOCATION - On-site: Mountain View, California, USA. - Remote or hybrid arrangements are not available for this role. - No visa sponsorship available — candidates must have existing US work authorization.