AIML - Senior Applied Research Lead, Health AI

Cupertino, California, United States
Machine Learning and AI


Weekly Hours: 40
Role Number:200544268
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior research lead passionate about solving real-world problems in the health domain that make a difference in our customers' lives.


In this role, you will use your skills and experience in ML and deep learning to design, implement and evaluate new machine learning models and algorithms to solve ambitious problems involving unique data and objectives. You will have the opportunity to explore and develop generative AI technologies. The successful candidate should possess excellent interpersonal skills and ability to work multi-functionally to transform novel research at the intersection of Health and ML into customer features.

Minimum Qualifications

Key Qualifications

  • 5+ years experience in hands-on experience in state-of-the-art machine learning and deep learning as applied to large-scale datasets
  • Strong background in generative models, natural language processing, and large language models
  • Proficiency developing large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch, Jax)
  • Passionate about applying machine learning methods to deliver end-user experiences in health space
  • Experience in leading a team and track record of multi-functional collaboration to deliver customer-facing features in production

Preferred Qualifications

Education & Experience

Ph.D. in Computer Science, Machine Learning, or related fields or equivalent qualification.

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.