AI/ML – Machine Learning Engineer, Siri Search, Knowledge & Platform

AI/ML – Machine Learning Engineer, Siri Search, Knowledge & Platform

About the job

Summary

Help us make Siri smarter! We’re seeking software engineers and architects to work on improving data workflows for Siri’s open domain query understanding. As an expert in developing software to manage large, dynamic data sets, you’ll be building platform for data ingestion, cleaning, transformation and evaluation to support a rapidly scaling organization.

Key Qualifications

Excellent programming skills — e.g. Python, Go, Java

Excellent problem-solving and analytic skills

Solid computer science and systems foundations; ability to quickly learn new domains

Proven system development skills in UNIX-type OS (e.g. Linux, Mac OS)

Experience working with large data sets and pipelines, ideally using the Apache software stack (e.g. Spark, HBase)

Experience with continuous integration and continuous development solutions (e.g. Jenkins, etc.)

Experience with cloud-native deployment (e.g. Kubernetes)

Good communication skills and teamwork

Passion for building great products

Curiosity and desire to learn

Description

Apple is hiring a data platform engineer for Siri’s Knowledge team. You’ll be working at the frontier of AI, crunching massive amounts of data for Siri’s knowledge base. In a fast-paced, continuously-integrated environment, you’ll design and implement robust, scalable systems capable of processing an ever-growing data set while keeping latency low and quality high. You’ll work closely with knowledge extraction engineers to integrate new data, and with engineers from across Siri to deliver data for customer-facing services. Your responsibilities will also include developing tools and tests to ensure quality and help diagnose issues.

Education & Experience

BS or MS in Computer Science or a related field

Additional Requirements

The following experience is nice to have, but not required:

Data modeling

Experience working with search engines

Machine Learning

Natural-language processing

Role Number: 200223520

 

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