Senior Software Engineer - AI​/ML Platforms and Infrastructure

Senior Software Engineer - AI / ML Platforms and Infrastructure

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

Are you ready for new challenges and new opportunities? Join our team in Seattle!

Current job opportunities are posted here as they become available.

The mission of the Allen Institute is to understand the principles that govern life and to advance health. Our creative and multi-dimensional teams focus on answering some of the biggest questions in bioscience. We accelerate foundational research, catalyze bold ideas, develop tools and models, and openly share our science to make a broad, transformational impact on the world.

The Allen Institute is launching a new accelerator on human brain health and disease. This initiative aims to dramatically accelerate our understanding of human brain structure and function, identify the molecular, cellular and circuit basis of disease progression, and pioneer new therapeutic strategies targeting vulnerable and affected cell types. Our mission focuses on taking a human-centric approach to understanding and treating disease, combining a large-scale open science discovery approach across multiple diseases, AI-based disease modeling, and translational programs in specific diseases to move from discovery to clinical application.

We aim to make transformational change in understanding and treating brain disorders, the biggest health challenge of our time.

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 research and engineering teams and represent the Institute in engagements with external vendors and collaborators.

The successful candidate will collaborate closely with system administrators, software engineers, neuroscientists, data scientists, and cross‑institutional partners to advance the Institute’s scientific mission.

At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.

We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.

We are an equal‑opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.

• Design and implement cloud-based and on-premise solutions to support training of large-scale, multi-modality biological foundation models
• Collaborate with external partners to design and implement solutions for training of models with a mix of Allen Institute data and sensitive, non-shareable data from…