Member of Technical Staff, Research Engineer

What you'll do

• Implement and evaluate machine-learning methods, and translate research papers into production-ready code.
• Build data-processing pipelines, optimize models for GPU clusters, and deploy inference systems to the cloud.
• Document and disseminate research, maintain tests, and collaborate with engineers and scientists.

What they ask for

• BS/MS/PhD in computer science, machine learning, or statistics.
• Strong foundations in machine learning, statistics, linear algebra, and probability.
• Excellent Python and PyTorch skills.
• Deep-learning experience, plus understanding of computer architecture, parallel training, and GPU optimization.

Nice to have

• Experience in at least one of self-supervised learning, survival analysis, multi-modal learning, domain adaptation, causal inference, model interpretability, or computational pathology.
• Prior publications at A* conferences such as ICML, ICLR, NeurIPS, or CVPR.

Pay

$120K – $210K USD base salary

Tools

Python, PyTorch, GPU

AI focus

Develop clinical AI methods for self-supervised learning, survival analysis, multi-modal learning, causality, interpretability, and prediction of patient outcomes and treatment response.