12d 23h ago
Senior AI Scientist
Hyperfine, Inc.·ML / AI Engineer · Health Technology
🏢Hybrid
|Palo Alto, United States of America$190k - $215k USD/yr
computer_visiondeep_learningmlpython+2
Senior AI Scientist
Hyperfine, Inc. | ML / AI Engineer | Health Technology
Hybrid
Full Time
United States of America, Palo Alto
$190k - $215k USD/yr
Position:
Senior AI Scientist
Company:
Hyperfine, Inc.
Compensation:
The annual base salary for this position is between $190,000 - $215,000.
Location:
United States, Palo Alto, CA
Employment type:
Not specified
Work Arrangement:
Hybrid (3 days/week)
Short Summary:
The Senior AI Scientist will innovate and expand product capabilities by developing techniques to solve scientific and clinical problems in MRI, aimed at improving patient outcomes.
Responsibilities:
- Coordinate tasks and goals with other scientists, software engineers, and a clinical team.
- Rapidly prototype deep learning models including classification, detection, segmentation, reconstruction, super-resolution, and denoising.
- Design and develop new machine learning algorithms while keeping abreast of the latest advances.
- Maintain and continuously improve existing deep learning models.
- Support software releases and regulatory documentation.
Requirement:
- PhD in a relevant field, or MS with 2+ years of applied experience.
- Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.
- Experience working with Medical Images and Magnetic Resonance Images.
- Software engineering experience in developing and maintaining systems using Python.
- Programming experience in PyTorch and/or TensorFlow.
Benefits:
Not specified
Senior AI Scientist
Company:
Hyperfine, Inc.
Compensation:
The annual base salary for this position is between $190,000 - $215,000.
Location:
United States, Palo Alto, CA
Employment type:
Not specified
Work Arrangement:
Hybrid (3 days/week)
Short Summary:
The Senior AI Scientist will innovate and expand product capabilities by developing techniques to solve scientific and clinical problems in MRI, aimed at improving patient outcomes.
Responsibilities:
- Coordinate tasks and goals with other scientists, software engineers, and a clinical team.
- Rapidly prototype deep learning models including classification, detection, segmentation, reconstruction, super-resolution, and denoising.
- Design and develop new machine learning algorithms while keeping abreast of the latest advances.
- Maintain and continuously improve existing deep learning models.
- Support software releases and regulatory documentation.
Requirement:
- PhD in a relevant field, or MS with 2+ years of applied experience.
- Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.
- Experience working with Medical Images and Magnetic Resonance Images.
- Software engineering experience in developing and maintaining systems using Python.
- Programming experience in PyTorch and/or TensorFlow.
Benefits:
Not specified
Required Skills
computer_visiondeep_learningmlpythonpytorchtensorflow
Required Languages
🇬🇧 English
Key competency: ML / AI Engineer