About the Role
A fast-growing Series A AI model training and evaluation startup — headquartered in Mountain View, CA and backed by prominent institutional investors — is hiring a Founding ML Engineer focused on Demand Generation. This is a high-impact founding-team role sitting at the intersection of machine learning and growth strategy. You'll build the intelligent systems that power how the company reaches, converts, and retains customers, turning ML into a direct, measurable growth engine. The company works with leading AI frontier labs and enterprises worldwide, and is scaling rapidly.
What You'll Do
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Build and deploy ML models that optimize lead scoring, conversion prediction, and campaign performance.
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Automate demand generation workflows end-to-end — from audience segmentation to personalized outreach.
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Design robust data pipelines for behavioral analytics, targeting, A/B testing, and experimentation.
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Collaborate closely with marketing and product teams to translate growth goals into measurable ML solutions.
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Experiment with LLMs, recommendation systems, and generative AI techniques for content creation and outreach.
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Establish data-driven frameworks for channel optimization and ROI tracking.
What We're Looking For
Required
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3–10 years of hands-on ML engineering experience in demand generation, growth marketing, or related data-driven marketing domains.
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Strong proficiency in Python, with practical experience using PyTorch and/or TensorFlow to build and deploy ML models.
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Proven experience developing ML solutions for lead scoring, conversion prediction, and campaign performance optimization.
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Experience integrating with marketing and CRM platforms such as HubSpot and Salesforce in ML-driven workflows.
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Hands-on experience with advertising APIs (e.g. Google Ads API, Meta Ads API) for model-driven campaign optimization.
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Experience with LLMs, recommender systems, and generative AI techniques for content creation and outreach.
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Ability to design and implement data pipelines for behavioral analytics, audience segmentation, and experimentation.
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Strong cross-functional communication skills — able to translate growth goals into clear ML deliverables.
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Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience).
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Ability to work on-site in Mountain View, CA.
Nice to Have
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Prior experience at an AI/ML company, data services firm, or growth-focused tech startup.
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Familiarity with performance marketing analytics and ROI measurement frameworks.
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A builder's mindset: comfortable moving fast, experimenting often, and owning measurable outcomes.
Compensation & Benefits
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Salary: $220,000 – $300,000 per year, depending on experience.
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Founding-team equity opportunity.
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Visa sponsorship is available for qualified candidates.
Location
This is a full-time, on-site role based in Mountain View, California. The company also operates a delivery office in India. On-site presence at the Mountain View headquarters is required.
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