Are you passionate about applying your deep understanding of machine learning technologies and data platform skills in creative ways? We at Apple’s iCloud Mail team are searching for an excellent Machine Learning Engineer that can play a role in continuously innovating on iCloud Mail experience. The iCloud Mail engineering team is responsible for building groundbreaking infrastructure that supports our production mail service used by millions of users, sending billions of messages every day. The tasks include design, development, testing, deployment and support of mail infrastructure components passionate about customized mail experiences, anti-abuse, using big data, machine learning and artificial intelligence technologies.
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.
Minimum Qualifications
Deep understanding of predictive modeling and machine learning algorithms for supervised and unsupervised learning including classification, regression, clustering, etc.
Excellent knowledge and experience in all major machine learning algorithms, statistical regression and deep learning included.
Strong production experience training and evaluating ML models with accurate pipelines and metrics
Proficiency in working with distributed system, Hadoop, Spark, etc.
Proven programming skills, with proficiency in Python, Java, etc.
Proficient in design, implementation and maintenance of large-scale, high-performance mail real-time services and frameworks.
Proficient in Event-driven architecture and messaging frameworks (Pub/Sub, Kafka, and/or RabbitMQ)
Preferred Qualifications
Large Language Model training and Prompt engineering a big plus.
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. Learn more about Apple Benefits
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. Learn more about your EEO rights as an applicant
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.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.