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.
Requirements
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.
Benefits
Health insurance
Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
communication skillscollaborativecross-functional teamworkknowledge-sharingdesire to improve patient outcomes
Certifications
M.S. in Computer SciencePh.D. in Computer ScienceM.S. in Electrical EngineeringPh.D. in Electrical EngineeringM.S. in Biomedical EngineeringPh.D. in Biomedical Engineering