Health Sensing ML Engineer

Cupertino, CA, US • Posted 30+ days ago • Updated 6 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Prototyping
  • ECG
  • Algorithms
  • Computer Hardware
  • Customer Facing
  • Computer Science
  • Information Systems
  • Deep Learning
  • Python
  • PyTorch
  • TensorFlow
  • Data Analysis
  • Time Series
  • Sensors
  • Biomedicine
  • Signal Processing
  • Extraction
  • Evaluation
  • Software Development
  • Machine Learning (ML)
  • Training
  • Research

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

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: d292d60d8690c8521500188528297128
  • Posted 30+ days ago
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