Senior machine learning platform engineer, Evaluation & Privacy at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

0.0

Posted On

04 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Swift, Distributed Systems, Machine Learning, Privacy-Preserving Machine Learning, Differential Privacy, Secure Multi-party Computation, Private Federated Learning, PII Redaction, Software Design, Model Deployment, Problem Solving

Industry

Computers and Electronics Manufacturing

Description

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. 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 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.

Responsibilities

Collaborate with engineers and scientists to integrate machine learning investigations into a privacy-preserving platform. Design and operate scalable distributed systems that turn these investigations into production capabilities for billions of devices.