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Principal Systems ML Engineer - Scalable AI Infra

Posted yesterday

metaHonolulu (HI)

SENIORITY

Lead

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About the role

Meta is seeking a principal-level Software Engineer to drive architectural foundations for large-scale ML infrastructure across training, inference, and on-device optimization. You will define the multi-year technical roadmap and translate AI research into production systems that scale with AI-native workflows. You will mentor engineers, partner with hardware and product teams, and shape standards that improve reliability and performance for complex ML systems at scale.

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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