Job Description
General Description
Software/Data Engineer - Grant Funded (part-time)
Salary: $52.13 per hour
Hours: 19 hours per week
Commitment: 52 weeks
This is a grant-funded position from The City University of New York. Grant-funded positions expire either at the end of the stated term or whenever funding for the position ceases.
About Nanit:
The team behind Nanit are experts in those first precious moments of your baby’s life. The company provides products and services that help parents stay informed on their baby’s health, safety and well-being through smarter and better use of technology. In 2016, the Nanit baby monitor revolutionized the industry with computer vision and machine learning capabilities that helped parents help their babies sleep better. Now, the company has become the leader in the connected nursery space, with an incredible customer base of highly-engaged new parents who look to Nanit as a source of information and expertise on their parenting journey.
About The Role:
In partnership with The City University of New York, you will collaborate as a member of the Nanit team and liaise with Dr. Sarah Berger (College of Staten Island) to work on innovating our research. You will help shape how Nanit runs its algorithms on the camera and the cloud and how it communicates with the rest of the world.Other Duties
What you will do:
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Software engineering: act as the software engineering focal point within the research group.
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Data engineering: enable the systematic collection, curation and availability of large and complex datasets.
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Research and integrate tools and best of breed methods into the research data processing pipeline.
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Design and implement solutions for enabling and streamlining the research process.
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Work with state-of-the-art AI and vision algorithms and methods.
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Collaborate closely with research partners from both academia and industry.
Qualifications
Requirements:
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3+ years experience in Software Engineering.
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BSc Computer Science or similar level related experience.
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Strong programming skills (preferred language: Python).
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Ability to work independently with remote guidance.
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Strong ability to self-learn, come up with solid solutions to problems and lead their execution.
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Passion for writing clean and robust code, and applying Software Engineering best practices.
Preferred:
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Experience with DevOps / MLOps
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Experience with Data Engineering and data-centric systems.
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Knowledge in Computer Vision and Machine Learning.
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Experience with statistical programs (R and SPSS preferred)
RFCUNY Benefits
RFCUNY Employee Benefits and AccrualsAbout the Research Foundation
The Research Foundation of The City University of New York (RFCUNY) is a nonprofit educational corporation founded in 1963 to provide post-award fiscal and administrative support for CUNY’s research and sponsored programs. RFCUNY’s services allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries, on projects and programs that serve our local and global communities, proposing concrete solutions to society’s most pressing challenges.
RFCUNY serves as a fiscal agent and works closely with all the CUNY campus Grants Offices to perform the core functions of post-award financial management for CUNY research projects and sponsored programs. These functions include legal assessment and signing of agreements where RFCUNY is named as a fiscal agent; setting up award accounts; preparing sub-awards and assisting PIs in monitoring the work of the recipients of sub-awards; supporting project directors with hiring and managing research project and sponsored program staff; supporting the purchasing and paying for goods and services with grant and program funds; managing financial aspects of projects including accounts receivable, financial reporting, invoicing, budget monitoring, and cost compliance with uniform guidance; ensuring that sponsor financial requirements are met; monitoring compliance with applicable project and financial management rules and laws; supporting the management of independent and external audits and financial reviews; and providing data, information, management expertise, and other supports to CUNY’s research and sponsored programs.
Equal Employment Opportunity Statement
Key Features
Part Time
$52.13-$52.13
0.00-19.00
Dec 25, 2022 (Or Until Filled)