On-Device ML Engineer, Wallet Security & Privacy

Apple Inc.

Austin (TX)

On-site

USD 140,000 - 230,000

Full time

14 days+

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Job summary

Apple Inc. is seeking a Machine Learning Engineer to develop on-device technologies that keep users safe while preserving privacy, focusing on Wallet Intelligence and fraud prevention across Apple Pay and Apple Wallet.

You will work with engineering, security, PM, and business partners to translate requirements into practical ML solutions running in real time on devices. You will design models with constraints like size, latency, and memory, and contribute to a proactive, system-wide

Qualifications

Experience with ML methods such as classification, clustering, and anomaly detection.
Strong programming skills in Python, Scala, or Java.
Experience processing and analyzing data at scale using distributed data/compute frameworks.
Ability to communicate analysis clearly to varied audiences.
Experience delivering results on ambiguous problems.

Responsibilities

Translate customer and security needs into ML solutions from framing to feature engineering and evaluation.
Design models that balance accuracy with latency and on-device compute budgets.
Map model placement in the user journey and fraud-risk workflows to anticipate issues.
Uphold high privacy standards in all builds.
Collaborate with software engineering, security, PM, and business teams to define problems and communicate results clearly.
Share your thinking openly and build trust with team members.