Staff ML Engineer: Platform Leader & High-Impact ML

Posted yesterday

kikoffMillbrae (CA)

SENIORITY

Manager

Apply

About the role

Kikoff is seeking a Staff Machine Learning Engineer to set the technical direction for ML across underwriting, risk, and personalization. You will own the ML platform and modeling roadmap end to end, delivering high-impact models and governance at scale. This hands-on role partners with Product, Risk, Finance, and Engineering to raise the bar for ML and drive measurable business value for millions of users.

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.

More like this