Founding ML Engineer – Demand Generation

<h3>About the Role</h3><p style="min-height:1.5em">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 <strong>Founding ML Engineer focused on Demand Generation</strong>. 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.</p><p style="min-height:1.5em">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.</p><p style="min-height:1.5em"><strong>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.</strong></p><h3>What You'll Do</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization.</p></li><li><p style="min-height:1.5em">Automate demand generation workflows end-to-end — from audience segmentation to personalized outreach.</p></li><li><p style="min-height:1.5em">Design and maintain data pipelines for behavioral analytics, audience targeting, and A/B experimentation.</p></li><li><p style="min-height:1.5em">Partner closely with marketing and product teams to translate growth objectives into measurable ML solutions.</p></li><li><p style="min-height:1.5em">Experiment with LLMs, recommendation systems, and generative AI for content creation and outreach personalization.</p></li><li><p style="min-height:1.5em">Establish data-driven frameworks for channel optimization and ROI tracking across marketing programs.</p></li></ul><h3>What We're Looking For</h3><p style="min-height:1.5em"><strong>Required</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">3–10 years of hands-on ML engineering or data science experience, with direct exposure to demand generation, lead scoring, or campaign optimization.</p></li><li><p style="min-height:1.5em">Strong proficiency in <strong>Python</strong> and ML frameworks (<strong>PyTorch</strong> and/or <strong>TensorFlow</strong>) for building and shipping production-grade models.</p></li><li><p style="min-height:1.5em">Proven experience building and deploying data pipelines for behavioral analytics, audience segmentation, targeting, and experimentation.</p></li><li><p style="min-height:1.5em">Hands-on experience with marketing tech stacks and APIs: <strong>HubSpot, Salesforce, Google Ads API, Meta Ads API</strong>.</p></li><li><p style="min-height:1.5em">Experience experimenting with <strong>LLMs, recommendation systems, and generative AI</strong> for content and outreach use cases.</p></li><li><p style="min-height:1.5em">Track record of establishing data-driven frameworks for channel optimization and ROI measurement.</p></li><li><p style="min-height:1.5em">A builder's mindset — you move fast, experiment often, and take ownership of measurable outcomes.</p></li><li><p style="min-height:1.5em">Must be authorized to work in the United States without employer visa sponsorship.</p></li></ul><p style="min-height:1.5em"><strong>Nice to Have</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Familiarity with growth analytics platforms and performance marketing ecosystems.</p></li><li><p style="min-height:1.5em">Curiosity for applying AI to business outcomes beyond traditional ML use cases.</p></li></ul><h3>Compensation &amp; Benefits</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Salary:</strong> $220,000 – $300,000 per year, depending on experience.</p></li><li><p style="min-height:1.5em">Founding-level equity and early-stage impact opportunity.</p></li><li><p style="min-height:1.5em">Collaborative, high-velocity team environment working on cutting-edge AI applications.</p></li></ul><h3>Location</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>On-site:</strong> Mountain View, California, USA.</p></li><li><p style="min-height:1.5em">Remote or hybrid arrangements are not available for this role.</p></li><li><p style="min-height:1.5em">No visa sponsorship available — candidates must have existing US work authorization.</p></li></ul><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>