Senior Software Engineer - AI / ML Platforms and Infrastructure

*Senior Software Engineer, AI/ML Platforms and Infrastructure – Brain Health Accelerator*

The Allen Institute accelerates science for a healthier world through large-scale research designed to answer some of the most complex questions in biology. Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our brain, cells, and immune system work. We share our work openly so others can build on it, move faster, and ask bigger questions. We drive discovery forward and create new possibilities for improving human health.

The goal of the Brain Health accelerator is to revolutionize the treatment of brain diseases by creating the first dual-use molecular tools that can not only reveal information about the diversity of cells in the human brain but also be used to target novel treatments to specific types of cells.

We are seeking a Senior Software Engineer, AI/ML Platforms and Infrastructure with deep expertise in software engineering, ML software platforms, cloud-base ML infrastructure, and Federated Learning to drive the architecture, design, delivery, and operation of AI training and inference services and infrastructure to support modelling efforts by Brain Health Accelerator scientists. This role requires both strategic vision and hands-on execution to enable and support training of biological foundation models with data from the Allen Institute and numerous external collaborators. This will include architecting solutions to work with sensitive and controlled access data, which may include enabling federated model training.

As one of the first engineers on the Brain Health data and technology team, you will be responsible for contributing to our team’s vision, architecting and overseeing complex technical solutions and architectures, and ensuring that our training platforms and infrastructure are secure, reliable, compliant, and cost-effective. You will serve as a key technical partner to rese