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Ataraxis AIAtaraxis AINew York, NY

Member of Technical Staff, Foundation Models

Design, implement, and evaluate novel self-supervised foundation models for clinical multi-modal data and precision medicine. Requires PhD in ML/statistics, strong publication record in top venues, and expertise in PyTorch/deep learning.

100k – 300k
On-siteEntry levelAI Research

About the role

Responsibilities

  • Design and implement novel self-supervised learning methods for training foundation models.
  • Translate machine learning papers into production-ready code.
  • Build robust model evaluation frameworks.
  • Disseminate the results by co-authoring research papers and abstracts.
  • Collaborate with a multidisciplinary team of engineers and scientists.
  • Co-mentor junior members of the team.

Qualifications

  • PhD degree in machine learning or statistics.
  • Passion for research, attention to detail and ability to drive tasks to completion.
  • Strong preference will be given to candidates with papers in A* conferences (e.g. ICML, ICLR, NeurIPS, CVPR).
  • Excellent understanding of core machine learning concepts.
  • Excellent knowledge of the foundations of statistics, linear algebra, probability and machine learning.
  • Excellent skills in Python and PyTorch.
  • Experience in deep learning and self-supervised learning.
  • Experience in survival analysis, multi-modal learning, domain adaptation, causal inference, model interpretability and computational pathology is a bonus.

Skills

PyTorchPythonSelf-Supervised LearningDeep LearningMachine LearningStatisticsLinear AlgebraProbabilityCausal InferenceMulti-Modal Learning

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