Senior Platform Engineer, Privacy Preserving ML

We are seeking an experienced platform learning engineer and to join our team building
privacy-preserving technologies for measurement and machine learning.
Successful candidates will need to have a strong technical background and interest or
experience with backend development and deploying data-intensive systems. Strong
interpersonal skills and the ability to influence and build consensus are crucial to
success in this role. You will be working across a range of technologies, so adaptability
to new problems and systems is a core skill.

Collaborate with other engineers to design, develop, and deploy end to end
measurement systems with high utility that meet Apple’s industry-leading
privacy bar.
Support, build, and maintain infrastructure as code and automation systems to
accelerate the team’s product development and enable scaling our products to
teams all across Apple.
Operate independently to solve complex problems at the intersection of privacy-
preserving measurement and machine learning.
Contribute to the development of data collection, training, and evaluation of
generative AI and Machine Learning systems while preserving user privacy.

2+ years of industry experience with a Bachelor’s degree or equivalent
experience in Computer Science or a related technical field.
Experience architecting, deploying, and scaling data intensive systems.
Strong hands-on experience in SW development, with proficiency in one or
more programming languages such as Python, Swift, and C++.
Experience building systems to orchestrate, automate, and harden data
processing pipelines.
Strong problem-solving skills, creativity in finding effective solutions, and the
ability to collaborate with teams across the company.

Passion for customer privacy.
Experience with differential privacy, secure multi-party computation, private
federated learning, or PII redaction frameworks.
Experience with DevOps/GitOps, CI/CD, and containerized deployment
frameworks like Kubernetes.
Experience with statistical techniques for A/B testing, distribution estimation,
and sampling theory.
Experience with compliance, security protocols, and defense in depth to reduce
vulnerabilities.
5+ years of industry experience.
Master's degree or PhD or equivalent experience in Computer Science,
Software Engineering, or a related technical field.

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, and are looking for
an outstanding candidate to help us scale across Apple products.

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 $175,000 and $263,300, 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.