Scientist I - ML/AI Algorithms for Multimodal Foundational Models

The Allen Institute is dedicated to understanding the principles that govern life and advancing health through innovative research. They are seeking a Scientist I to design machine learning methods that integrate multimodal data and model disease trajectories related to Alzheimer’s disease, contributing to a better understanding of its pathology.ResponsibilitiesConduct research, design, develop and prototype novel algorithms to model disease progression from imaging data setsHarmonize multiple imaging data modalities into a common analysis frameworkTrain large-scale models in multi-GPU environments efficientlyStay at the forefront of advances in AI for computer visionParticipate in a highly interactive and multidisciplinary environmentPublish/present findings in peer-reviewed journals/scientific conferencesSkillsPh.D. in Computer Science, Applied Math, Engineering, Computational Neuroscience, Computational Biology, or related field, or equivalent combination of degree and experienceExperience working with recent Deep Learning Architectures/Foundational ModelsExperience with building, deploying and maintaining machine learning and foundational modelsProficiency with cloud computing (AWS, GCP or Azure) and with on-prem clustersProven ability to work independently and manage multiple projects simultaneously while meeting deadlinesExcellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environmentExperience with modeling disease heterogeneityExperience building transformer-based foundational modelsWorking knowledge of AI/ML custom libraries, AI/ML execution platformsProven track record of achieving significant results as demonstrated by grants, fellowships, as well as first-authored publications at leading workshops or conferences such as CVPR/ICCV/ECCV, NeurIPS/ICLR, ICRA/RSS/CoRL/IROS, or SIGGRAPHProven ability to work independently and manage multiple projects simultaneously while meeting deadlines in a highly collaborative environmentExcellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environmentBenefitsMedicalDentalVisionBasic life insurance401k planPaid time offCompany OverviewThe Allen Institute is dedicated to answering some of the biggest questions in bioscience and accelerating research worldwide. It was founded in 2003, and is headquartered in Seattle, Washington, USA, with a workforce of 501-1000 employees. Its website is https://alleninstitute.org/.Company H1B SponsorshipAllen Institute has a track record of offering H1B sponsorships, with 41 in 2025, 33 in 2024, 25 in 2023, 26 in 2022, 17 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.



Apply Now