Machine Learning Engineer â Trust and Safety (Account Trust)
Machine Learning Engineer â Trust and Safety (Account Trust)
Posted on :
02-08-2025
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1 Vacancy
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Job Description
Success in this role is defined by your ability to:Maintain a deep understanding of Apples account types services and evolving protection complex systems and communicate technical concepts to non-technical user behavior from diverse data sources building narratives that explain fraudulent activity and attack strong partnerships to close data gaps and mitigate attack weaknesses propose better fraud-fighting tools and anticipate attacker role requires exceptional collaboration across Data Science Software Engineering and Machine Learning Research. Youll work with partner teams to develop strategic long-term fraud prevention solutions while continuously enhancing your software engineering and machine learning expertise.
- Proven experience in anti-fraud (or similar) with at least two complex investigations in incomplete data environments demonstrating initiative and measurable impact.
- 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.
- Experience with Python Scala Java or similar including relevant libraries (e.g. scikit-learn TensorFlow PyTorch Spark MLlib).
- 2 years of industry software development experience using source control (e.g. Git).
- Hands-on experience implementing machine learning solutions (classifiers clustering anomaly detection).
- Advanced degree (MS/PhD) in a quantitative field (Computer Science Statistics Mathematics Operations Research).
- Effective interpersonal written and verbal communication skills.
- Curiosity integrity and a passion for learning and enhancing the Apple customer experience.
Employment Type
Full Time
Key Skills
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