About the RoleThis 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 & BenefitsBase salary:
$220,000 - $300,000 USD annually. Visa sponsorship is available for this role.
LocationOn-site, full-time in
Mountain View, California, USA. Remote work is not available for this position.
