Senior AI Scientist
Hyperfine, Inc. · Health Technology
- Location: Palo Alto (United States of America)
- Work arrangement: hybrid
- Employment type: Full Time
- Salary: $190k - $215k USD/yr
- Seniority: senior
- Posted:
Job description
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
Skills
- computer_vision
- deep_learning
- ml
- python
- pytorch
- tensorflow
Languages
EN
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