Whiterabbit.ai
Posted 171 days agoVerified live 2d ago
Research Scientist Intern (2026)
Brief overview
United StatesIn-person
6 H-1B approvalsDept. of Labor
Deep learningConvolutional networksTheoretical researchEmpirical researchPython programmingDeep learning framework usageLarge scale machine learningComputer visionResearch contribution
About the company
Whiterabbit.aiwhiterabbit.ai
Whiterabbit.ai develops software using artificial intelligence to detect cancer at the earliest stages.
Visa sponsorship history
3 years sponsoring, last filed FY2025
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.6H-1B approved
100%approval rate
4new H-1B hires
$167,500median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20232
20254
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20241
20251
Top sponsored roles
Sr. Product ManagerResearch Scientist
Job description
Summary
Whiterabbit.ai is dedicated to saving lives through early cancer detection using artificial intelligence. They are seeking a Research Scientist Intern to contribute to the development of algorithms and models while collaborating with healthcare professionals and the research community.
Responsibilities
- Develop highly scalable classifiers and detectors that solve real-world problems
- Learn and understand a large body of research in deep learning and machine learning
- Participate in cutting-edge research for medical applications of computer vision
Skills
- Experience with deep learning and convolutional networks
- Strong theoretical and empirical research background
- Fluency with a deep learning framework and Python
- Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
- Large scale machine learning experience working with terabytes of data
- Implemented custom operations/modules in a deep learning framework
- Imagination, ambition, and curiosity
Qualifications
Must Haves
- Experience with deep learning and convolutional networks
- Strong theoretical and empirical research background
- Fluency with a deep learning framework and Python
Nice to Haves
- Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
- Large scale machine learning experience working with terabytes of data
- Implemented custom operations/modules in a deep learning framework
- Imagination, ambition, and curiosity
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