Research Scientist Intern

Santa Clara Valley (Cupertino), California, United States
Operations and Supply Chain


Weekly Hours: 40
Role Number:200118271
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just build products — they create the kind of wonder that’s revolutionized entire industries! It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

Key Qualifications

  • Experience with at least two of the following areas is desired:
  • Behavior change through reinforcement learning and/or control theory
  • Experience working with raw sensor data in any of the following settings:
  • Using system identification and robust control techniques in understanding various stimuli-response relationships
  • Analyzing sound and videos for information extraction
  • Model reduction techniques
  • Machine Learning and algorithm development and analysis (must have experience designing novel algorithms)
  • The candidate must be comfortable prototyping in Python or C++


Apple’s Health Strategic Initiatives group is seeking an enthusiastic research scientist with emphasis in one of the following areas: computer science, decision making, biomedical engineering or electrical engineering with specialty in control theory or signal processing, to join our team to design, validate and implement novel algorithms. As an Algorithm Scientist intern in the Health Strategic Initiatives group you will work closely with datasets unique to Apple. You will build models to extract digital biomarkers that might enable features that will help millions of users. The ideal candidate will have a strong publication record.

Education & Experience

Pursuing a graduate degree in computer science, computer vision, cognitive science, biomedical engineering or electrical engineering (with specialty in control theory or signal processing)

Additional Requirements