Machine Learning Engineer — Trust and Safety (Account Trust)
Description For Machine Learning Engineer — Trust and Safety (Account Trust)
The Trust and Safety group at Apple is seeking a talented Machine Learning Engineer to help ensure users have genuine and safe experiences across Apple's services and products. This role focuses on protecting critical systems including Apple's account creation flows and iMessage spam prevention.
As a Machine Learning Engineer in the Trust and Safety team, you'll work on turning vast amounts of data into actionable insights that enhance customer safety while defending against external threats. You'll need to maintain deep knowledge of Apple's various account types, services, and protection systems while collaborating across Data Science, Software Engineering, and Machine Learning Research teams.
The ideal candidate brings proven experience in anti-fraud investigations, strong technical skills in big data tools and machine learning, and the ability to communicate complex concepts clearly. You'll analyze user behavior patterns, identify system vulnerabilities, and develop strategic solutions to stay ahead of evolving threats.
This role offers the opportunity to make a direct impact on user safety at massive scale while working with cutting-edge machine learning technologies. You'll help shape long-term fraud prevention strategies while continuously expanding your expertise in software engineering and ML.
The position comes with competitive compensation including base pay between $166,600 - $296,300, plus equity opportunities through RSUs and ESPP. Additional benefits include comprehensive healthcare, retirement plans, education reimbursement, and potential bonuses and relocation assistance.
Join Apple's Trust and Safety team to help protect millions of users while working alongside world-class engineers and researchers in an environment that values curiosity, integrity, and continuous learning. Your work will directly contribute to maintaining trust in Apple's ecosystem while tackling fascinating technical challenges at the intersection of machine learning and security.
Responsibilities For Machine Learning Engineer — Trust and Safety (Account Trust)
- Maintain deep understanding of Apple's account types, services, and evolving protection systems
- Simplify complex systems and communicate technical concepts to non-technical audiences
- Analyze user behavior from diverse data sources
- Build strong partnerships to close data gaps and mitigate attack vectors
- Identify weaknesses, propose better fraud-fighting tools, and anticipate attacker adaptations
Requirements For Machine Learning Engineer — Trust and Safety (Account Trust)
- Proven experience in anti-fraud with at least two complex investigations in incomplete data environments
- 3+ years of experience with big data tools (SQL, Spark, Splunk, Python, Jupyter Notebook)
- Familiarity with machine learning algorithms including classifiers, clustering algorithms, and anomaly detection
- Experience collaborating across engineering and non-engineering teams
Benefits For Machine Learning Engineer — Trust and Safety (Account Trust)
- Comprehensive medical and dental coverage
- Retirement benefits
- Employee stock purchase plan
- Restricted stock unit awards
- Education reimbursement
- Discretionary bonuses
- Relocation assistance
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