Health Sensing ML Engineer

Cupertino, CA, US • Posted 14 hours ago • Updated 1 hour 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
  • NMS

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.

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.

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

Interpersonal skills; comfortable in a collaborative and ground breaking research environments\nMS 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 14 hours ago
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