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AI/Machine Learning Engineer

Ascendion

Location

Irvine, CA

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

A leading medical device innovator is seeking a Senior AI / Machine Learning Engineer to join its R\&D team focused on building the next generation of health monitoring technologies.

This role will focus on developing advanced AI/ML models and signal processing algorithms to analyze physiological data and enable new non-invasive health measurements. You’ll work with large datasets from sensors, clinical systems, and multimedia sources to help develop technologies that support disease detection, diagnosis, and prediction of critical health events.

What You'll Do

  • Develop

machine learning and deep learning models

for healthcare applications

  • Build algorithms using

ML, deep learning, digital signal processing, and numerical modeling

  • Analyze large physiological datasets from

sensors and clinical data sources

  • Train and evaluate models using

cloud-based datasets

  • Implement algorithms on

embedded systems and medical devices

  • Prototype new technologies and contribute to

patentable innovations

  • Collaborate with

cross-functional R\&D teams (hardware, software, systems)

  • Support clinical data analysis and research studies

What We're Looking For

  • 3\+ years of experience

in AI/ML, deep learning, or signal processing

  • Experience with

regression, classification, clustering, CNNs, RNNs, etc.

  • Strong programming in

Python, MATLAB, C, or C\+\+

  • Experience with

PyTorch, TensorFlow, Keras, or scikit-learn

  • Familiarity with

embedded systems and DSP architectures

  • Strong analytical and problem-solving skills

Nice to Have

  • Experience working with

biomedical or physiological signals

  • Knowledge of

human physiology or clinical research environments

Education

MS or PhD in

Electrical Engineering, Biomedical Engineering, or a related field

Compensation

:

The anticipated range for this position is $150,000 - $180,000

.

Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, and experience. This position also qualifies for up to 10% annual bonus based on Company, department, and individual performance.

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