Job Details

Weekly Hours: 40

Role Number: 200629486-3337

Summary

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Join us in enabling the next generation of intelligent customer experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models! We are seeking an experienced ML Engineer to join our dynamic team. You’ll play a key role in designing, developing, and maintaining the central platform for building AI experiences within Apple. The ideal candidate has extensive experience building tools for ML lifecycle and launching ML-powered experiences to production. This candidate previously worked with ML frameworks, TPU/GPU/CPU workflows, and is knowledgeable of the Python ML ecosystem.

Description

We design and build machine learning infrastructures to support features that empowers billions of Apple users. As part of this group, you will develop the systems we use to build AI/ML models through the entire lifecycle - from experimentation to production inference. You will have opportunities to work cross functional with MLE, DS, Infra and others. You will be able to stay on the cutting edge of tooling that supercharges ML/AI innovation at Apple.

Minimum Qualifications

• Bachelors in Computer Science, engineering, or a related field

• Proficiency in Python and advanced knowledge of the Python ML ecosystem

• Extensive experience building tools for ML lifecycle and launching ML-powered experiences to production

• Proven record of building responsive and scalable services

• Experience with service oriented architecture, observability, database and distributed systems

• Experience with building on top of AWS or GCP cloud services

• Solid understanding of software engineering principles and design patterns

• Strong communication skills and ability to work in a collaborative environment

Preferred Qualifications

• Experience working with notebook ecosystems and web-based IDEs. Experience with building and deploy ML software in production to a wide range of infrastructure (CPU/GPU/TPU).

• Big data experience such as Apache Spark, Apache Ray

• Some frontend development experience with Javascript / React

• Prior experience building an Notebook solution in a large organization

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 $171,600 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. (https://www.apple.com/careers/us/benefits.html)

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .