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Founding Engineer - ML Demand Generation

CleraMountain View, CA

$220K – $300Kfrom listing textEngineeringFull time3+ yrs
Source-verified: read directly from this employer's own ashby job board, not a repost.On-sitePosted (2 days ago)Last verified (today)

At a glance

Location
Mountain View, CA
Workplace
On-site
Pay
$220K – $300K (from listing text)
Employment type
Full time
Experience
3+ years
Education
Bachelor (or equivalent)
Job family
Engineering
Seniority
Not stated
Posted by employer
2 September 2026
Last verified open
4 September 2026
Region and country
CA, US
Team
Engineering
Listed via
Ashby

What the employer wrote

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.

Where this record came from

Read from Clera's own Ashby job board on , and last confirmed still open on . The employer published it on 2 September 2026. Jobsearch.ing did not write, edit or rank this posting, and does not vet the employer. View the original posting.

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