- Design and implement state-of-the-art machine learning models to guide users through MRI data collection and analysis.
- Develop innovative strategies for managing a vast, ever-expanding database of clinical medical images.
- Build reusable frameworks for seamless integration of machine learning into MRI workflows.
- Fine-tune and validate models, meticulously evaluating error margins.
- Unearth groundbreaking opportunities to leverage machine learning within our platform.
- Collaborate with customers and researchers, sharing your expertise through presentations and publications.
- Excellent communication skills, both written and verbal.
- A collaborative spirit and a knack for tackling problems independently.
- A strong foundation in machine learning, statistical modeling, and data analysis tools.
- Python proficiency is a must.
- Experience working with image processing and analysis techniques.
- A Ph.D. or M.S. in a relevant field, with 2+ years of industry experience.
- Prior experience with MRI image analysis.
- Familiarity with software development processes in a regulated environment.
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Machine Learning Engineer - California, United States - BioTalent
Description
Machine Learning Engineer - Revolutionize MRI Scanning
Shape the future of medical imaging with cutting-edge machine learning and computer vision
We're on a mission to unlock the full potential of MRI scanning by simplifying the process and increasing its power. Our FDA-cleared platform automates MRI data collection, boosting efficiency and consistency.
Join our passionate, growing team as a Machine Learning Engineer and play a pivotal role in developing the next generation of MRI automation.
What You'll Do:
You're a Perfect Fit If You Have:
Bonus Points for: