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
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Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization.
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Automate demand generation workflows end-to-end — from audience segmentation to personalized outreach.
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Design and maintain data pipelines for behavioral analytics, audience targeting, and A/B experimentation.
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Partner closely with marketing and product teams to translate growth objectives into measurable ML solutions.
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Experiment with LLMs, recommendation systems, and generative AI for content creation and outreach personalization.
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Establish data-driven frameworks for channel optimization and ROI tracking across marketing programs.
What We're Looking For
Required
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3–10 years of hands-on ML engineering or data science experience, with direct exposure to demand generation, lead scoring, or campaign optimization.
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Strong proficiency in Python and ML frameworks (PyTorch and/or TensorFlow) for building and shipping production-grade models.
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Proven experience building and deploying data pipelines for behavioral analytics, audience segmentation, targeting, and experimentation.
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Hands-on experience with marketing tech stacks and APIs: HubSpot, Salesforce, Google Ads API, Meta Ads API.
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Experience experimenting with LLMs, recommendation systems, and generative AI for content and outreach use cases.
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Track record of establishing data-driven frameworks for channel optimization and ROI measurement.
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A builder's mindset — you move fast, experiment often, and take ownership of measurable outcomes.
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Must be authorized to work in the United States without employer visa sponsorship.
Nice to Have
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Familiarity with growth analytics platforms and performance marketing ecosystems.
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Curiosity for applying AI to business outcomes beyond traditional ML use cases.
Compensation & Benefits
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Salary: $220,000 – $300,000 per year, depending on experience.
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Founding-level equity and early-stage impact opportunity.
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Collaborative, high-velocity team environment working on cutting-edge AI applications.
Location
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On-site: Mountain View, California, USA.
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Remote or hybrid arrangements are not available for this role.
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No visa sponsorship available — candidates must have existing US work authorization.
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