Apple is looking for an experienced on-device machine learning engineer to join their Privacy Preserving Machine Learning team to build privacy-preserving technologies for measurement and machine learning.
Requirements
- Experience in building production pipelines for machine learning.
- Strong hands-on experience in SW development, with proficiency in one or more object-oriented programming languages such as Python, Scala, and C++.
- Experience in building container applications, using platforms/technologies such as Kubernetes, Docker, etc.
- Experience in PII redaction frameworks and techniques
- Experience with differential privacy, secure multi-party computation or private federated learning
- Experience with training, evaluating, and deploying machine learning models to production
- Strong problem-solving skills, creativity in finding effective solutions
Responsibilities
- Collaborate with other engineers to design and develop end to end measurement systems with high utility that meet Apple’s industry-leading privacy bar.
- 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.
Other
- 2+ years of industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field.
- Strong interpersonal skills and the ability to influence and build consensus are crucial to success in this role.
- Adaptability to new problems and systems is a core skill.
- Passion for customer privacy
- 5+ years of industry experience