Freenome is seeking a Senior Machine Learning Scientist to help develop algorithms for early, blood-based detection tests for cancer.
Requirements
- Expertise in applied machine learning, deep learning and complex data modeling
- Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation, Bayesian inference and model selection, and variational inference
- Practical and theoretical understanding of DL models like large language models or other foundation models
- Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning
- Proficient in current state of the art in ML/DL approaches in different domains
- Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.
- Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face
Responsibilities
- Independently pursue cutting edge research in AI applied to biological problems
- Build new models or fine-tune existing models to identify biological changes resulting from disease
- Build models that achieve high accuracy and that generalize robustly to new data
- Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model
- Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration
Other
- PhD or equivalent research experience with an AI/DL emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics
- 3+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques
- Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations
- A passion for innovation and demonstrated initiative in tackling new areas of research
- US target range of our base salary/hourly rate for new hires is $173,780 - $263,200
