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Founding Engineer - ML Demand Generation

Job Description - Founding Engineer - ML Demand Generation

About the Role

This is a founding-level ML engineering role at the intersection of data science and growth strategy, sitting at the core of a fast-moving AI/ML data and services company. You'll build intelligent systems that drive user acquisition, lead conversion, and campaign performance — turning machine learning directly into measurable business impact.

What You'll Do

  • Build ML models to optimize lead scoring, conversion prediction, and campaign performance.

  • Automate demand generation workflows, from audience segmentation to personalized outreach.

  • Design data pipelines for behavioral analytics, targeting, and experimentation.

  • Collaborate with marketing and product teams to translate growth goals into measurable ML solutions.

  • Experiment with LLMs, recommendation systems, and generative AI for content and outreach.

  • Establish data-driven frameworks for channel optimization and ROI tracking.

What We're Looking For

  • 3–10 years of hands-on ML engineering experience in demand generation, growth marketing, or data-driven marketing domains.

  • Strong Python proficiency with practical experience using PyTorch and/or TensorFlow for building and deploying models.

  • Experience integrating with marketing and CRM platforms (e.g. HubSpot, Salesforce) in ML-driven workflows.

  • Familiarity with advertising APIs (e.g. Google Ads API, Meta Ads API) for model-driven campaign optimization.

  • Proven ability to build data pipelines for A/B testing, audience segmentation, and behavioral analytics.

  • Track record developing solutions for lead scoring, conversion prediction, and performance optimization.

  • Experience with LLMs, recommender systems, and generative AI techniques.

  • Strong cross-functional communication skills; comfortable translating growth goals into engineering deliverables.

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent practical experience.

Compensation & Benefits

Base salary range: $220,000 – $300,000 USD annually. Visa sponsorship is available for this role.

Location

This is a fully on-site role based in Mountain View, California, US.

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