About the position
We believe deep integration of data-driven machine learning with experimental approaches is a core driver of the next generation of defining companies in health. We imagine this will be driven by individuals from diverse scientific and machine learning backgrounds. Thus, we are open to all profiles with computational excellence. We are seeking the most innovative and entrepreneurial Machine Learning Scientists. You will join organizations at the early stages of our company creation process to develop innovative algorithmic methods, leveraging both in-house and external data to train and evaluate models while also deploying new algorithms into production and integrating deeply into experimental platforms to close feedback loops. The successful candidate will work closely with experimental scientists to rapidly advance various scientific programs.
Responsibilities
- Develop or fine-tune deep learning architectures and hone them through deployment on experimental platforms.
- Work with experimental groups to integrate modeling efforts into high-impact applications.
- Develop production-quality code in a team setting and plan for deploying and training models at scale.
- Present progress from scientific work in regular research meetings and prepare reports and slide decks for broader internal and external communication.
Requirements
- PhD in computer science with a desire to collaborate with leading experimentalists or a PhD in scientific field plus demonstrated experience applying deep learning. Exceptional candidates without PhDs will be considered.
- Experience developing, debugging, and applying models using modern deep learning frameworks on GPUs in cloud environments.
- Proficiency in Python and machine learning frameworks such as TensorFlow, Pytorch, and/or JAX.
- Desire to work across the entire data stack, from data ingest to model deployment.
- Curiosity and humility to work with scientific domain experts to identify and frame problems worth solving beyond existing benchmarks.
- Energetic self-starter with the ability to work effectively in a startup environment.
- Excellent analytical skills and ability to synthesize & communicate complex information rapidly and effectively.
