Senior ML Explainability Engineer Remote + Equity

Posted yesterday

jobleadsusAustin (TX)

Data Scientists Custom Computer Programming Services

SENIORITY

Lead

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About the role

Elloe AI is the trust layer for AI, and this Staff ML Systems Engineer role owns the explainability stack used to inform deployment decisions. You’ll build SHAP overlays that run in production with sub-100ms latency and real trace logs, tied to actual decisions. We expect you to ship ML infrastructure at real-world scale, reason about SHAP limits, and collaborate across policy, risk, and product to ensure compliance and auditable outputs.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.