Senior Exercise Physiologist - Health AIML
Apple· Health AIML / Health AI
Cupertino, CA$216.4k - $361.5kfull-timePosted 1mo ago
About the role
Senior exercise physiologist role at Apple’s Health AI team to define evidence-based physical activity guidance, translate physiology and research into measurable standards, and collaborate with ML engineers, data scientists, and clinicians to improve health information delivery.
Responsibilities
- Define what good, evidence-based guidance about physical activity looks like at Apple, and make that definition measurable.
- Write the standards our health and fitness work is held to, turn those into evaluations, review model outputs, and adjudicate when needed.
- Collaborate with machine learning engineers, data scientists, and clinicians; translate physiology and research evidence into actionable terms.
- Evaluate quality and safety criteria for machine learning systems related to physical activity guidance.
- Review model outputs and provide specific changes when needed.
- Work directly in code and data, including running Python scripts/notebooks to examine data and evaluation results, in a shared code repository.
Qualifications
- 10+ years of experience applying exercise, physical activity, or human performance evidence with people (coaching, athletic training, rehabilitation, clinical care, research, or product development).
- Experience turning research evidence into written standards, guidelines, rubrics, or evaluation criteria.
- Experience judging the quality of generated content against an explicit standard, at volume, and turning findings into specific changes.
- Experience working directly in code and data, including running Python scripts or notebooks to examine data and evaluation results, and working in a shared code repository.
- MS 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 ML systems, including reading model outputs and collaborating with engineers on scoring.
- Experience writing code to analyze data or evaluation results (e.g., Python for data analysis) or adding evaluation criteria to a codebase.
- Ph.D. in Exercise Physiology, Sports Science, Kinesiology, or a related field.
- Experience applying exercise and physical activity guidance across multiple populations (athletic, military, general adult, older adult, clinical).
- Experience with behavior change research, including measuring adherence and long-term engagement over months/years.
Skills
Required:Exercise physiology expertisePython for data analysisStandards developmentContent quality evaluation
Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and free services
- Educational expense reimbursement including tuition
- Discretionary bonuses or commission payments and relocation eligibility
Last updated Sep 18, 2026. Interested? Apply on the company site.
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