ML Bioengineer — Hybrid​/Remote Research Leader

A national research laboratory in California is seeking a Machine Learning Bioengineer to conduct research on next-generation clinical models. The role involves collaboration with multidisciplinary teams, contributing to the design and evaluation of machine learning methods. Ideal candidates should have a Master's in Machine Learning or a related field, and experience in deep learning using tools like PyTorch or Tensor Flow.

This position offers a hybrid schedule allowing some remote work.
Our group is growing, and we are hiring a ML Bioengineer — Hybrid/Remote Research Leader in Livermore, CA, United States. The advertised compensation is 146.. We aim to respond to suitable candidates as soon as possible. Full responsibilities and requirements are described in the listing above. Learn more about the ML Bioengineer — Hybrid/Remote Research Leader role in the description above.