Job Openings at the Allen Institute
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Department: | Data and Technology |
Software Engineer III – Machine Learning & Algorithm Research and Development
The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
The mission of the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through integration of experiments, modeling and theory.
We are seeking an exceptional, energetic and experienced machine learning and algorithms engineer who has a track record of building scalable and distributed production software. The ideal candidate has experience in implementing data architecture and pipelines to enable intelligent applications on top of petabytes of diverse data. We seek to lay an informatics architecture and a compute framework for brain science research. We generate large-scale neuroscience datasets, online search, visualization, and analysis utilities, and APIs. Our data is freely and openly shared with the public at www.brain-map.org.
The informatics architecture will support the whole data science life cycle from ingestion, mapping, refinement to publishing and serving, encompassing provenance of the data and integrate across datasets, modalities, and scales from micro- to macro-scale and from raw data (sequences, images, time-series) to derived models (cell types, circuits, brain organization). You will be working with subject matter experts to gather requirements, assess different algorithms, models, and methods for fit for purpose, implement rapid prototypes to flush and validate concepts. This role is part of a team doing big and open science. You will interact regularly with neuroscientists and work closely with a wide variety of engineers, collaborating in a large team while working on new discoveries about the brain.
The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role.
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Additional Comments
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.