ML Engineer: Big-Data Predictive Modeling & Personalization

Posted yesterday

adobeSan Jose (CA)

Data Scientists Software Publishers

SENIORITY

Lead

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About the role

Adobe is seeking a Machine Learning Engineer to apply AI and ML to big-data problems, helping optimize the customer experience across the full lifecycle. You will build predictive models and scalable algorithms, collaborating with product management and engineering to deploy new features. The ideal candidate has a strong academic foundation and hands-on experience in statistics, ML, data mining, and software development, with familiarity in working with large-scale datasets.

Before you apply

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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.