Senior Platform Engineer, Privacy Preserving ML

Summary

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.

Description

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.

Responsibilities

• 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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.