Health Sensing ML Engineer
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At a glance
Requirements
Credentials this posting asks for.
Job overview
Apple is hiring a Health Sensing ML Engineer. The Health Sensing team develops outstanding technologies to support users in living their healthiest, happiest lives by providing objective, accurate, and timely information about health and well-being. This role involves developing ML algorithms for health sensing applications and ensuring efficient evaluation of these models for production at scale. The engineer will interact closely with ML engineers, clinicians, software, and hardware engineers to deliver high-quality, customer-facing product solutions on time.
Key focus areas include Develop ML algorithms for health sensing applications, Ensure efficient evaluation of models for production at scale, and Interact closely with ML engineers, clinicians, software and hardware engineers.
Successful candidates bring BS In Computer Science, Engineering, Information Systems, Or Related Technical Field and 3 Years Equivalent Experience. Important skills include Machine Learning, Deep Learning, Python, PyTorch, TensorFlow, and Health Data Analysis. Preferred (not required): Interpersonal Skills.
Skills & qualifications
Skills
Qualifications
Full job description
Role Number: 200670408-0836
Summary
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
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BS in Computer Science, Engineering, Information Systems, or related technical field and a minimum of 3 years of equivalent experience
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Proven experience in developing machine learning and deep learning models, preferably in the health domain
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Proficiency in Python and ML frameworks e.g. PyTorch, Tensorflow
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Experience with health data analysis, including time-series data, sensor data, and biomedical signal processing
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Proven understanding of data preprocessing, feature extraction, and model evaluation techniques
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Familiar with software development standard methods/teamworks
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Sufficient SW skills to run large ML training jobs efficiently on a distributed backend with large volume of data
Preferred Qualifications
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Interpersonal skills; comfortable in a collaborative and ground breaking research environments
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MS or PhD or equivalent experience
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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