Health Sensing ML Engineer

Apple's Health Sensing team is at the forefront of developing innovative health monitoring technologies that enhance users' well-being. As a Health Sensing ML Engineer, you'll join the Sensor SW & Prototyping team, focusing on algorithm development for various health sensors including PPG, accelerometer, and ECG.

You'll be responsible for developing ML algorithms for health sensing applications and ensuring efficient model evaluation at scale. Working closely with ML engineers, clinicians, and hardware/software engineers, you'll deliver high-quality solutions that meet production standards. The role combines cutting-edge machine learning with practical health applications, requiring expertise in both technical implementation and cross-functional collaboration.

The position offers competitive compensation ranging from $143,100 to $264,200, along with comprehensive benefits including medical, dental, and vision coverage. Apple provides opportunities for stock ownership through various programs and supports continued education with tuition reimbursement for career advancement.

This is an exciting opportunity to impact people's health through technology while working with state-of-the-art sensors and machine learning techniques. You'll be part of a team that values innovation, quality, and user impact, developing solutions that directly affect people's well-being through Apple's health monitoring products.

Key aspects of the role include developing ML/DL models for health data, analyzing large-scale sensor data, building efficient evaluation pipelines, and collaborating across teams to bring algorithms to production. The ideal candidate combines strong technical skills in ML/Python with experience in health data analysis and a collaborative mindset.