Senior platform engineer

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 systems that enable training and evaluation of generative AI 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.

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