AIML-Machine Learning Engineer, Measurement
Job Description
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. We are looking for an outstanding candidate to become a member of the Privacy Preserving Machine Learning team.
Description
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.
Successful candidates will need to have a strong technical background and interest or experience with deploying privacy-preserving 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.
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 need to have a strong technical background and interest or experience with deploying privacy-preserving 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.
Minimum Qualifications
- 2+ years of industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field.
- Strong hands-on experience in software engineering, with proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building highly scalable distributed systems.
- Experience with iOS development or Machine Learning including PyTorch and TensorFlow.
- Strong problem-solving skills, creativity in finding effective solutions, and the ability to work in a cross-functional team.
- BS in Computer Science, EE or equivalent experience
Preferred Qualifications
- Passion for customer privacy
- Experience with differential privacy or private federated learning
- Proven experience in deploying machine learning models into production environments.
- 5+ years of industry experience
- Experience handling large-scale datasets and data-driven applications.
- Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field.
