AIML - Applied Research Scientist, Health AI

Company : Apple
Location : Cupertino, CA, 95014
Posted Date : 14 October 2025
Job Type : Other
Category : Scientific Research & Development
Occupation : Research Scientist
Job Details
AIML - Applied Research Scientist, Health AI
Cupertino, California, United States Machine Learning and AI
Description
Investigating innovative machine learning and artificial intelligence techniques for health data challengesDesigning and implementing machine learning pipelinesModeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, and visualization techniquesProcessing, cleaning, and verifying the integrity of data used for analysisValidating your findings using an experimental and iterative approach and effectively presenting back your findings
Minimum Qualifications
- Expertise in at least one area of machine learning and artificial intelligence (e.g., self-supervised learning, multi-modal ML, model optimization, NLP, LLM)
- Strong interest in applying machine learning to health & fitness related problems and data
- Ability to distill vague product experiences into concrete problem definitions
- Experience using a programming language (Python, C/C++ etc.) to manipulate data, draw insights from large data sets, and train machine learning models.
- 3+ years of practical experience applying ML to solve real-world problems or relevant quantitative and qualitative research and analytics experience
- MS or PhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative field
Preferred Qualifications
- A drive to learn and master new technologies and techniques
- A passion for making methods robust and scalable
- 5+ years of practical experience building ML & AI models to tackle real-world problems
- Excellent verbal and written communication and presentation skills
- Proficiency training large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch), and experience with data analysis stacks (such as NumPy, SciPy, pandas, Spark, etc.)
- Strong fundamentals in problem solving, algorithm design, and model building
- Passion for creating new technologies with high product impact
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .
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