Senior machine learning platform engineer, Evaluation & Privacy

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and great privacy to our users. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state of the art privacy-preserving measurement and machine learning. Join us and help build amazing products while our commitment to privacy.

Description

In this role you will work with engineers and scientists across many Apple products to bring their machine learning investigations onto our platform for privacy-preserving machine learning. You will partner with them to understand the goals of each feature and the data required to improve the experience, then design the systems that turn those investigations into production capabilities. The results of this work will be better features deployed to billions of devices, all while protecting the privacy of every person using them.

Responsibilities:

Design, build, and operate the platform that supports privacy-preserving ML training and evaluation, including private federated learning systems that run across millions of user devices.

Scale distributed training and evaluation infrastructure to support a growing portfolio of teams and products across Apple.

Partner with applied scientists to take novel privacy-preserving algorithms from research prototype to production-grade systems.

Collaborate with product teams across Apple who depend on the platform, helping them adopt it and meet Apple's industry-leading privacy bar.

Successful candidates will need a strong technical background and the ability to work effectively across a wide range of technologies - from device runtimes to large-scale distributed backends. Adaptability to new problems and systems is a core skill, as is the technical breadth to reason about a system end to end.

Preferred Qualifications

Passion for customer privacy.

Experience with privacy-enhancing technologies such as differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks.

Experience training, evaluating, and deploying machine learning models to production.

5+ years of industry experience.

Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field.

Minimum Qualifications

2+ years of industry experience with a Bachelor's degree or equivalent experience in Computer Science or a related technical field.

Proficiency in one or more programming languages such as Python and Swift.

Experience building software that runs in the background or on a schedule on largely autonomous systems like iPhone - not as a self-contained app.

Experience designing and operating distributed systems at scale.

Strong problem-solving skills, creativity in finding effective solutions, and the ability to collaborate with teams across the company.

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 $181,100 and $318,400, 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.