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Celesta Portfolio Careers

Celesta and our portfolio of startups are always hiring exceptional talent!
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Research Scientist Intern

Whiterabbit.ai

Whiterabbit.ai

Remote
Posted on Thursday, January 18, 2024
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 products
- Train on a dedicated high-performance compute cluster specialized for deep learning research
- Work 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.

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

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with Python and a deep learning framework, preferably PyTorch

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at top tier conferences or high impact peer-reviewed journals
  • Large scale machine learning experience working with terabytes of data
  • Experience with organizing, curating, and annotating datasets for computer vision problems
  • Knowledge of medical imaging and DICOM data
  • Imagination, ambition, and curiosity