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Health Sensing ML Engineer at Apple
Cupertino, California, United States -
Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Deep Learning, Health Data Analysis, Time-Series Data, Sensor Data, Biomedical Signal Processing, Data Preprocessing, Feature Extraction, Model Evaluation, Python, PyTorch, Tensorflow, Software Development, Distributed Backend, Large Volume Data

Industry

Computers and Electronics Manufacturing

Description
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. MINIMUM QUALIFICATIONS 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 PREFERRED QUALIFICATIONS Interpersonal skills; comfortable in a collaborative and ground breaking research environments MS or PhD or equivalent experience
Responsibilities
Develop ML algorithms for health sensing applications and ensure efficient evaluation of these models for production at scale. Collaborate closely with ML engineers, clinicians, and software and hardware engineers to deliver high-quality solutions.