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Founding ML Engineer - Growth & Demand Generation

clera United State
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AI Summary

Founding-level ML engineering role at an AI/ML data company focused on driving user acquisition and revenue through intelligent systems. Build and deploy ML models for lead scoring, conversion prediction, and automated demand generation workflows. Requires 3-10 years of experience in ML engineering, Python, PyTorch/TensorFlow, and experience with marketing/CRM integrations.

Key Highlights
Founding-level role with high impact on growth and revenue metrics
Competitive base salary range of $220,000 – $300,000 USD
Visa sponsorship available for qualified candidates
Key Responsibilities
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
Technical Skills Required
Python PyTorch TensorFlow
Benefits & Perks
Base salary: $220,000 – $300,000 USD annually
Visa sponsorship available

Job Description


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.


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