Job ID: 2019-10124 Type: Full-Time # of Openings: 1 Category: Research and Laboratory
The Seung Lab at Princeton University specializes in reconstructing the connections between neurons by analyzing electron microscopic brain images. The lab has received major funding from IARPA to reconstruct the connectome of a cubic millimeter of neocortex. This presents new engineering challenges as the volume is 1000x larger than existing reconstructions. This amounts to a petabyte of image data that must be stored and processed through our artificial intelligence (AI) pipeline and reviewed by human effort. The lab is looking for an infrastructure developer experienced in large scale data storage and data processing systems to help scale the lab’s existing pipeline for this petabyte challenge.
This is a 1 year term position with possibility of renewal based on satisfactory performance and continued funding.
In addition to submitting your resume through this posting, please email your CV and a longish C++ code sample directly to Claire McKellar: email@example.com
Scale machine learning algorithms and data access requirements
Architect storage and application backend systems
Develop and establish API’s for new backend systems
Migrating remaining data infrastructure to the cloud
Screen and evaluate candidates and mentor colleagues.
Bachelor's degree in Computer Science or a related field; or equivalent education/experience
Master level knowledge of at least one core programming language such as C++, Java, Python
Expert level knowledge of at least 2 other programming languages
Designed and deployed database solutions and large scale applications
Excellent proficiency in architecting large scale data processing pipelines
In-Depth knowledge of server administration / cloud orchestration
Strong Computer Science fundamentals such as algorithms and data structures
Strong desire to learn new technologies
Articulate and strong communication skills
4-6 years professional experience
Machine Learning / Deep Learning
Both AWS and Google Cloud
Front end development experience
Continuous Deployment / integration
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW
Internal Number: 112562835
About Princeton University
Princeton University is a vibrant community of scholarship and learning that stands in the nation's service and in the service of all nations. Chartered in 1746, Princeton is the fourth-oldest college in the United States. Princeton is an independent, coeducational, nondenominational institution that provides undergraduate and graduate instruction in the humanities, social sciences, natural sciences and engineering.As a world-renowned research university, Princeton seeks to achieve the highest levels of distinction in the discovery and transmission of knowledge and understanding. At the same time, Princeton is distinctive among research universities in its commitment to undergraduate teaching.Today, more than 1,100 faculty members instruct approximately 5,200 undergraduate students and 2,600 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education.