Senior Production ML Engineer — Hybrid, Equity & Flexible PTO

Posted yesterday

haus analyticsSeattle (WA)

SENIORITY

Senior

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About the role

Haus Analytics, Inc. seeks an experienced ML Engineer to drive high-impact machine learning projects, focusing on cMMM and scalable production systems. The role emphasizes writing production-grade code and collaborating with applied scientists, data scientists, and engineers. Candidates should have a PhD or equivalent, 10+ years in ML and strong skills in Python/Go/Java/C++. The team values impact, rigor, and scalable design in a fast-paced environment.

Before you apply

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

Your profile is current

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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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