Machine Learning Engineer Platform - iCloud Mail Intelligence

Machine Learning Engineer Platform - i

Cloud Mail Intelligence San Diego, California, United States Machine Learning and AI Summary Posted:

May 15, 2026

Weekly Hours:

40

Role Number:

200663254-3543 Are you passionate about applying your deep understanding of machine learning technologiesand data platform skills in creative ways? Apple's iCloud Mail Intelligence Platform team islooking for an excellent Machine Learning Engineer that can continuously innovate on theiCloud experience across Mail, Calendar, and Contacts. The team is responsible for building groundbreaking ML infrastructure that supports intelligent experiences for hundreds of millionsof 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 Minimum Qualifications 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 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 • Experience with agent-based architectures, orchestration frameworks, and LLM observability and evaluation tooling Expertise with LLMs, including fine-tuning, prompt engineering, embeddings, retrieval systems, evaluation, and integration into production systems 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 Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $201,300 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Note:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Apple accepts applications to this posting on an ongoing basis.