Develop and evaluate ML models and pipelines for AI products in healthcare, collaborating with MLOps teams on subprojects. Requires pursuing MS/PhD in CS/EE/BME with ML/CV focus, strong Python, and PyTorch/TensorFlow experience.
Salary not listed
HybridEntry levelML Engineering
About the role
What You’ll Do
Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models.
Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques.
Partner with our MLOps and platform teams to help build and improve our ML pipelines.
Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs.
What You Bring
Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning.
Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow).
A solid grasp of the fundamentals of machine learning and/or computer vision.
Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment.
A passion for our mission to improve patient outcomes.
Nice-to-have: Any high impact contributions through any AI/ML publications, open-source projects and any AI based products.
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