Founding ML Engineer – Demand Generation

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.

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.

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