Staff ML Engineer: Platform Leader & High-Impact ML
kikoffMillbrae (CA)
Staff ML Engineer: Platform Leader & High-Impact ML
Posted yesterday
kikoffMillbrae (CA)
SENIORITY
Manager
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.
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