Ataraxis Ai
Member of Technical Staff, Foundation Models
New York HQ. Posted 4 months ago
The role
This person will design and implement novel self-supervised learning methods for training foundation models. They will translate machine learning papers into production-ready code and build model evaluation frameworks.
What you will do
- 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.
Required qualifications
- PhD degree in machine learning or statistics.
- Passion for research, attention to detail and ability to drive tasks to completion.
- 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.
Nice to have
- Papers in A* conferences (e.g. ICML, ICLR, NeurIPS, CVPR)
- Experience in survival analysis
- Experience in multi-modal learning
- Experience in domain adaptation
- Experience in causal inference
- Experience in model interpretability
- Experience in computational pathology
About the company
Ataraxis is a clinical AI research lab working at the intersection of multi-modal AI and precision medicine. The company has raised over $24 million in funding.