Apple Inc.
AIML-Sr. Machine Learning Platform Engineer, Measurement
Seattle, Washington, United States | Machine Learning and AI
Description
We are seeking an experienced on-device machine learning engineer to join our team building privacy-preserving technologies for measurement and machine learning. In this role, you will:
- Collaborate with other engineers to design and develop end-to-end measurement systems with high utility that meet Apple’s industry-leading privacy standards.
- 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.
Successful candidates will have a strong technical background and interest or experience with iOS development and deploying privacy-preserving systems. Strong interpersonal skills and the ability to influence and build consensus are crucial. You will work across various technologies, so adaptability is essential.
Minimum Qualifications
- 2+ years of industry experience with a Bachelor’s degree or equivalent in Computer Science or a related field.
- Experience building production pipelines for machine learning.
- Proficiency in object-oriented programming languages such as Python, Scala, or C++.
- Experience with container applications and platforms like Kubernetes, Docker.
- Experience with PII redaction frameworks and techniques.
- Strong problem-solving skills, creativity, and ability to work cross-functionally.
- Bachelor's degree in Computer Science, Electrical Engineering, or equivalent.
Preferred Qualifications
- Experience with differential privacy, secure multi-party computation, or private federated learning.
- Experience training, evaluating, and deploying machine learning models to production.
- 5+ years of industry experience.
- Master's or PhD in Computer Science, Software Engineering, or related fields.