Health Sensing ML Engineer

Apple • Cupertino, CA

1d

About The Position

The Health Sensing team builds outstanding technologies to support our users in
living their healthiest, the happiest lives by providing them with objective,
accurate, and timely information about their health and well-being. As part of
the larger Sensor SW & Prototyping team, we develop algorithms for a variety of
health sensors, including PPG, accelerometer, ECG.

DESCRIPTION

In this role, you will be at the forefront of developing ML algorithms for
health sensing applications and ensuring the efficient evaluation of these
models to be in production at scale. You will interact closely with ML
engineers, clinicians, software and hardware engineers. You will deliver
solutions on time and with high quality standing up to the standards of a
customer facing product.

Requirements

• BS in Computer Science, Engineering, Information Systems, or related technical field and a minimum of 3 years of equivalent experience
• Proven experience in developing machine learning and deep learning models, preferably in the health domain
• Proficiency in Python and ML frameworks e.g. PyTorch, Tensorflow
• Experience with health data analysis, including time-series data, sensor data, and biomedical signal processing
• Proven understanding of data preprocessing, feature extraction, and model evaluation techniques
• Familiar with software development standard methods/teamworks
• Sufficient SW skills to run large ML training jobs efficiently on a distributed backend with large volume of data

Nice To Haves

• Interpersonal skills; comfortable in a collaborative and ground breaking research environments
• MS or PhD or equivalent experience

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees