Are you passionate about applying your deep understanding of machine learning technologies and data platform skills in creative ways? Apples 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.
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. 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 Strong production experience training, evaluating, and operating ML models with end-to-end ML pipelines: data processing, feature engineering, training, serving, and monitoring
Experience with large-scale distributed systems including data processing, event-driven architectures and both real-time and batch inference
Strong programming skills in one or more production languages (e.g., Python, Java, Scala, Kotlin, Go)
Demonstrated ability to drive projects independently from problem definition to production
Deep understanding of predictive modeling and machine learning algorithms across supervised and unsupervised learning 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
Experience deploying models across multiple runtimes (e.g., on-device, server-side)
Understanding of privacy-preserving ML techniques and responsible data handling
Familiarity with email, calendar, or contacts domains, or other communications and productivity systems
MS/PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.