Machine Learning Engineer Platform - iCloud Mail Intelligence

Are you passionate about applying your deep understanding of machine learning technologies

and data platform skills in creative ways? Apple's iCloud Mail Intelligence Platform team is

looking for an excellent Machine Learning Engineer that can continuously innovate on the

iCloud experience across Mail, Calendar, and Contacts.

The team is responsible for building groundbreaking ML infrastructure that supports intelligent experiences for hundreds of millions

of users worldwide.

Description

As a machine learning engineer, you will be focusing on:

Leveraging existing AI/ML infrastructure, build new platform services and be responsible for building an end to end machine learning based product solution for improving iCloud Mail experiences.

Working with large volumes of data; extracting and manipulating large datasets using tools such as Spark SQL, command line and scripting languages.

Collect ongoing qualitative and quantitative feedback from the user population and iterate based on the findings.

Building high-performance, scalable and extensible REST based services for enhancing Mail consumer experience.

Design database schemas, write queries, and optimize database performance.

Consider joining a small team writing the software which provides mail services to iCloud customers. We are looking for a very capable engineer who has a strong background in building high-performance, scalable and extensible systems using big data technologies. In addition to crafting efficient, testable, easy-to-maintain code, you recognize the importance of writing functional specifications and design documents. Quality is number one in your mind, and you flourish with building comprehensive unit and end-to-end tests, not only for features you build but also for existing features that need more testing. In this highly transparent position, the successful candidate will enhance existing mail systems while collaborating with multi-functional engineering teams, and also implement new customized mail experiences, in addition to preventing abuse of the system.

Responsibilities:

Leverage existing Apple AI/ML infrastructure and build new platform services that

standardize and accelerate ML feature development across Mail, Calendar, and Contacts

Design, develop, and deploy end-to-end machine learning applications and models that

improve the iCloud experience

Work with large volumes of data; extract and manipulate large datasets using tools such as

Spark, SQL, command line, and scripting languages

Build high-performance, scalable, and extensible services for delivering ML models and

features into production

Establish and apply standards for evaluation, testing, and model observability

Collect ongoing qualitative and quantitative feedback from the user population and iterate

based on the findings

Partner with multi-functional engineering teams to enhance existing systems and implement

new ML-driven experiences across Mail, Calendar, and Contacts

Preferred Qualifications

5+ years of ML engineering experience (or equivalent depth) with a track record of technical

leadership on large-scale ML systems or ML platforms that standardize workflows across

multiple teams