Senior machine learning platform engineer, Evaluation & Privacy

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 185,000 - 325,000; Full time

Job summary

Apple Inc. in Cupertino, CA is seeking a Senior machine learning platform engineer in Evaluation & Privacy.

You will design, build, and operate a platform enabling privacy-preserving ML training and evaluation across millions of devices, collaborating with engineers and scientists across Apple. You’ll scale distributed training infrastructure, partner with applied scientists to move ideas from research to production, and help product teams meet Apple’s industry-leading privacy standards while

Qualifications

• 2+ years of industry experience with a Bachelor''s degree or equivalent in Computer Science or related field.
• Proficiency in Python and Swift.
• Experience building software that runs in the background or on a schedule on largely autonomous systems like iPhone.
• Experience designing and operating distributed systems at scale.
• Strong problem-solving skills and ability to collaborate across teams.

Responsibilities

• Design, build, and operate the platform that supports privacy-preserving ML training and evaluation, including private federated learning systems at scale.
• Scale distributed training and evaluation infrastructure to support a growing portfolio of teams and products across Apple.
• Partner with applied scientists to take privacy-preserving algorithms from research to production-grade systems.
• Collaborate with product teams across Apple who depend on the platform and meet Apple''s privacy bar.
• Adaptability to new problems and systems across device runtimes and large-scale backends.

Skills

Python

Swift

Distributed systems

Problem solving

Education

Bachelor''s degree in Computer Science or related field

Master''s degree or PhD in CS/SE or related field

Job description

Senior machine learning platform engineer, Evaluation & Privacy

Cupertino, California, United States Software and Services

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.

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.

Preferred Qualifications

• 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.

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 $184,700 and $324,800, 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.