Trust & Safety Platform Engineer

  • Individual Contributor
  • Cupertino, CA US
  • This position has been filled
  • Experience level: 3+ years

Website apple Apple

This content was reproduced from the employer’s website on October 23, 2022. Please visit their website below for the most up-to-date information about this position.

Imagine what you could do here! At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. The Trust & Safety group is responsible for protecting Apple services, customers and developers from fraud and abuse. On the platform team, you will be tasked with building and supporting our Trust & Safety Platform to empower analytics and risking at Apple scale.
Key Qualifications
  • 3 or more years experience building large-scale distributed systems
  • Exceptional analytical and programming skills
  • Experience in Scala or Java preferred
  • Superior knowledge with at least two of the following: Spark, Flink, MapReduce, HDFS, Cassandra/NoSQL/RDBMS, Kafka, web services
Our ability to rapidly build and deploy effective fraud-fighting solutions to production is essential in our fight with fraudsters and abusers. Our platform is at the heart of this, and is made-up of high-quality, scalable and resilient applications and systems that power data ingestion and governance, feature engineering, model engineering and prediction. Not only must we be able to quickly respond to our adversaries, we also have to be able to run seamlessly across different execution contexts such as real-time, near real-time and batch utilizing diverse stacks such as Spark, Hadoop, Kafka, Cassandra and beyond. This is a software engineering role, where a large part of an engineer’s time is spent writing code with the remainder being spent on designing, architecting and evolving our systems, tuning and debugging, supporting production systems and supporting our Solutions Engineering team. If you love services, big data, distributed systems, have an interest in ML and have a curiosity with the internal workings of these systems, we’d love to talk with you about joining us!
Education & Experience
MS or BS in Computer Science or related field, or equivalent experience