Head of Machine Learning (Fraud & Risk) – Remote
Glint Tech Solutions LLC · Sunnyvale, CA
$210,000–$250,000from the description
Jul 20, 2026
Sunnyvale, CA
Jul 23, 2026
What this job asks for AI summary
A senior leadership role heading a machine learning team focused on fraud detection and risk decisioning. The position involves owning the full ML lifecycle — from feature engineering and model development through production deployment and ongoing monitoring — while setting the technical roadmap and managing a team of data scientists and ML engineers. Best suited to an experienced ML leader with a background in fraud, financial risk, or identity verification who can operate at both a strategic and hands-on level.
Senior level · 7+ years · Remote · Full-time
Advertised as Principal, but the requirements read as Senior.
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (7)
This role is a people-management position (Head of ML, 4+ years managing teams required), making 11-3021 the primary SOC. However, the JD places heavy emphasis on hands-on technical depth and production ML systems, making 15-2051 a genuine runner-up.
The title 'Head of Machine Learning' implies a top-of-org leadership level; advertised seniority is set to Principal. However, the actual scope — leading one ML org within a startup — is consistent with a Senior band rather than a true Principal/org-wide authority.
Total years minimum is set to 7, the lower bound of the stated '7–15 years' range. The 4+ years of team management is a separate hard gate captured in context rather than as a named technology skill.
Compensation is stated as $210,000–$250,000 base salary, with a note that exceptional candidates may be considered up to $260,000. The $260,000 ceiling is not the standard max and is excluded from the primary range.
Domain expertise is required in at least one of: Fraud Detection, Financial Risk, Identity Verification, or Cybersecurity. These are captured as a single skill with alternatives since the JD treats them as interchangeable gates.
Education: a Master's or PhD is preferred, not hard-required — the JD explicitly states Bachelor's + strong experience is also considered. Degree requirement is therefore set to None.
The 'Technical Skills' section at the bottom of the posting appears to be a summary/tag list rather than a separate requirements block; skills from it are already captured via the Required Qualifications section.
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