Apple
Health Sensing ML Engineer
$150K–$278K
Cupertino, California · Full-time · Posted Jun 30, 2026
- Experience
- Minimum of 3 years of equivalent experience.
- Education
- BS in Computer Science, Engineering, Information Systems, or related technical field; MS or PhD or equivalent experience preferred.
About the job
Develop and evaluate machine learning algorithms for health-sensing applications, taking models from health data pipelines through production-ready evaluation.
What you'll do
- Develop ML and deep learning models using health-sensing data and analyze large-scale wearable sensor data.
- Build data pipelines and evaluate model behavior, including failure analysis and identifying weaknesses.
- Collaborate with clinical, hardware, software, and ML teams to bring algorithms into real-world applications.
What they ask for
- BS in Computer Science, Engineering, Information Systems, or a related technical field, and a minimum of 3 years of equivalent experience.
- Experience developing machine learning and deep learning models.
- Proficiency in Python and ML frameworks such as PyTorch or Tensorflow.
- Experience analyzing health, time-series, and sensor data, including biomedical signal processing; understanding of preprocessing, feature extraction, and model evaluation.
Nice to have
- MS or PhD or equivalent experience.
- Interpersonal skills and comfort working in collaborative research environments.
Pay
$150,400 and $277,600 USD base salary
Tools
Python, PyTorch, Tensorflow
AI focus
Develop and evaluate machine learning and deep learning models for health sensing using wearable sensor data.
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