Senior Exercise Physiologist Health AIML

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit interdisciplinary team of research scientists machine learning engineers clinicians and health scientists working on technologies that reach millions of people. We are looking for a senior exercise physiologist who wants to shape what people are told about how to move train recover and stay capable as they age.

In this role you will use your background in exercise physiology to define what good evidence-based guidance about physical activity looks like at Apple and to make that definition measurable. Evaluation is the core of the work. You will write the standards our health and fitness work is held to turn those into evaluations review model outputs and adjudicate when needed. Physical activity is one of the most powerful levers on long-term health and one of the least well served by the way health information usually reaches people and this role exists to close that gap with evidence rather than enthusiasm. The role requires close collaboration with machine learning engineers data scientists and clinicians and regular translation of physiology and research evidence into terms they can act on.

10 years of experience applying exercise physical activity or human performance evidence with people through coaching athletic training rehabilitation clinical care research or product turning research evidence into written standards guidelines rubrics or evaluation judging the quality of generated content against an explicit standard at volume and turning what you found into specific working directly in code and data including running Python scripts or notebooks to examine data and evaluation results and working in a shared code or Ph.D. in Exercise Physiology Exercise Science Kinesiology Sports Science or a related field (or equivalent qualification). An active clinical license (MD or DO DPT RD NP or PA) with equivalent depth in exercise and physical activity is also accepted.

Experience defining quality safety or evaluation criteria for machine learning systems including reading model outputs directly and working with engineers on how those criteria are writing code to analyze data or evaluation results for example Python for data analysis or adding evaluation criteria directly to a .D. in Exercise Physiology Sports Science Kinesiology or a related applying exercise and physical activity guidance across more than one population for example athletic military general adult older adult or clinical with behavior change research including how adherence and long-term engagement are measured over months and years.