Machine Learning Engineer — Trust And Safety (Account Trust)

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 3 weeks ago
3-5 years
Cupertino, California, United States
work from office

Posted: 3 weeks ago
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Applicants: 149+
Job Description
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Job Description

Success in this role is defined by your ability to:•Simplify complex systems and work with technical and non-technical stakeholders to build solutions to align for specific use cases.•Build machine learning tooling to facilitate various phases of the ML lifecycle from model training, data ETL, end-to-end model evaluation and deployment.•Deliver reusable and easy-to-use tooling to integrate with existing data and machine learning systems.•Build strong partnerships to close data gaps and mitigate attack vectors.•Identify weaknesses, propose better fraud-fighting tools, and anticipate attacker adaptations.This role requires exceptional collaboration across Data Science, Software Engineering, and Machine Learning Research. You’ll 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.
  • Strong understanding of machine learning algorithms (including classifiers, clustering algorithms, and anomaly detection), especially in the context of LLMs.
  • 3+ years of proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch.
  • 3+ years of experience with big data tools (SQL, Spark, Splunk, Python, Jupyter Notebook).
  • Experience collaborating across engineering and non-engineering teams.
  • Strong interpersonal verbal and written communication skills with the ability to work effectively across internal and external organizations and virtual teams.
  • BS/BA or equivalent degree in computer science or similar (preferred).
  • 5+ years experience with Python, Scala, Java, or similar, including relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Spark MLlib).
  • 5+ years of industry software development experience using source control (e.g., Git).
  • Advanced degree (MS/PhD) in a quantitative field (Computer Science, Statistics, Mathematics, Operations Research).
  • Looking to get Placed? Try our Placement Guarantee Plan

  • Hands-on experience implementing machine learning solutions (classifiers, clustering, anomaly detection).
  • Experience building scalable deep learning systems.
  • Experience with large scale data infrastructure.
  • Curiosity, integrity, and a passion for learning and enhancing the Apple customer experience.
  • Excellent interpersonal, written, and verbal communication skills
  • Curiosity, passion for learning, high personal integrity, and a dedication to improving the Apple customer experience

Skills

Customer Experience

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About Company

Apple Inc., formerly Apple Computer, Inc., is a Silicon Valley–based multinational technology company headquartered in Cupertino, California. It designs, manufactures, and markets premium consumer electronics, software, and online services. Iconic products include the iPhone, iPad, Mac, Apple Watch, and Apple TV, alongside services such as Apple Music, iCloud, Apple Pay, Apple Arcade, Apple TV+, and the App Store. Operating systems now span iOS, iPadOS, macOS, watchOS, and visionOS.

As of August 2025, Apple ranks #3 globally by market capitalization (≈ US $3.4 trillion) and reported FY 2024 revenue of US $391 billion. It remains the second‑largest smartphone maker and fourth‑largest PC vendor worldwide, while expanding into AI‑powered devices, sustainable technology solutions, and mixed‑reality platforms like the Apple Vision Pro.

For professionals exploring Apple India careers, the company offers opportunities across hardware, software, design, retail, and operations, with office hubs in Bengaluru, Hyderabad, Mumbai, and Gurugram. Apple’s interview process in India is known for its rigor, cultural fit focus, and innovation‑driven assessment — attracting engineers, designers, and business talent passionate about shaping future‑ready technology.

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Important dates & deadlines?

Application Deadline

03 Jun 26, 02:58 PM IST

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Machine Learning Engineer — Trust And Safety (Account Trust)

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