Founding Engineer – ML Demand Generation
Summary
Build ML models for lead scoring, conversion prediction, and campaign optimization to automate demand generation workflows using Python, PyTorch/TensorFlow, and CRM/ad APIs.
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
Build and deploy ML models that optimize lead scoring, conversion prediction, and campaign performance.
Automate demand generation workflows end-to-end — from audience segmentation to personalized outreach.
Design robust data pipelines for behavioral analytics, targeting, A/B testing, and experimentation.
Collaborate closely with marketing and product teams to translate growth goals into measurable ML solutions.
Experiment with LLMs, recommendation systems, and generative AI techniques for content creation and outreach.
Establish data-driven frameworks for channel optimization and ROI tracking.
What We're Looking For
Required
3–10 years of hands-on ML engineering experience in demand generation, growth marketing, or related data-driven marketing domains.
Strong proficiency in Python, with practical experience using PyTorch and/or TensorFlow to build and deploy ML models.
Proven experience developing ML solutions for lead scoring, conversion prediction, and campaign performance optimization.
Experience integrating with marketing and CRM platforms such as HubSpot and Salesforce in ML-driven workflows.
Hands-on experience with advertising APIs (e.g. Google Ads API, Meta Ads API) for model-driven campaign optimization.
Experience with LLMs, recommender systems, and generative AI techniques for content creation and outreach.
Ability to design and implement data pipelines for behavioral analytics, audience segmentation, and experimentation.
Strong cross-functional communication skills — able to translate growth goals into clear ML deliverables.
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience).
Ability to work on-site in Mountain View, CA.
Nice to Have
Prior experience at an AI/ML company, data services firm, or growth-focused tech startup.
Familiarity with performance marketing analytics and ROI measurement frameworks.
A builder's mindset: comfortable moving fast, experimenting often, and owning measurable outcomes.
Compensation & Benefits
Salary: $220,000 – $300,000 per year, depending on experience.
Founding-team equity opportunity.
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.