Founding Engineer - ML Demand Generation

Role details

ABOUT THE ROLE This is a founding-level ML engineering role at an AI/ML data and services company, sitting at the intersection of machine learning and growth. You'll build intelligent systems that directly drive user acquisition, engagement, and revenue — turning data science into measurable demand outcomes. 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 and maintain data pipelines for behavioral analytics, targeting, and experimentation. - Partner with marketing and product teams to translate growth goals into ML-driven 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, data science, or growth analytics experience. - Strong Python skills with practical experience in PyTorch and/or TensorFlow for building and deploying models. - Proven track record with data-driven growth systems: lead scoring, conversion prediction, user modeling, or campaign optimization. - Experience integrating with marketing and CRM platforms (e.g. HubSpot, Salesforce) in ML-driven workflows. - Familiarity with advertising APIs (e.g. Google Ads, Meta Ads) for model-driven campaign optimization. - Experience with LLMs, recommender systems, and generative AI techniques. - Strong cross-functional communication skills to bridge technical and growth teams. - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent practical experience. COMPENSATION & BENEFITS Base salary: $220,000 – $300,000 USD annually. Visa sponsorship is available for this role. LOCATION On-site, full-time in Mountain View, California, USA. Remote work is not available for this position.