Research Scientist Intern (2026) at WhiteRabbit | Torre

Research Scientist Intern (2026)

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Internship
Ongoing

USD75.4K - 100K/year

~COP150M - 200M/year

+ Equity

+ Bonuses

location_on
Remote (anywhere)
Shared by
Emma of Torre.ai
10 days ago

Responsibilities


We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will: Play a key role in architecting the algorithms and models that will power our productsTrain on a dedicated high-performance compute cluster specialized for deep learning researchWork with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions Remain an active contributor to the research community by partnering with universities and  publishing high impact papers Who we are:Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of  cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the  country and have exclusive access to one of the world’s largest cancer datasets with millions of images.  We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience. ResponsibilitiesDevelop highly scalable classifiers and detectors that solve real-world problemsLearn and understand a large body of research in deep learning and machine learning Participate in cutting-edge research for medical applications of computer visionMust Have ExperienceExperience with deep learning and convolutional networks Strong theoretical and empirical research background Fluency with a deep learning framework and Python Nice to Have ExperienceContributions 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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.