Job Title: Senior RF Research Associate - Computer Vision Algo Engineer
PVN ID: SI-2212-005294
Category: Research
Location: COLLEGE OF STATEN ISLAND

Job Description

General Description

Computer Vision Algo 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 Algorithms Team in Israel and liaise with Dr. Sarah Berger (College of Staten Island) to work on innovating our research.

Other Duties

What you will do:

  • Research and development of state of the art AI models to solve problems in the video analysis world
  • Working on diverse computer vision tasks: Pose estimation, self-supervision, segmentation, detection, classification, multi-modality (video + sound), OOD, confidence, monitoring, etc..
  • End-to-end development, from the research phase to a production-grade model: data collection and analysis, literature review, research & POC, analyze errors, improve performance and reduce computation cost, support deployment to production.
  • Closely support the work of MLOps Team

Qualifications

Requirements:

  • At least 3 years of experience in deep learning development for computer vision
  • Excellent programming skills in Python
  • Experience and theoretic understanding of CNNs for vision tasks
  • Experienced in using at least one of the Deep Learning frameworks: TensorFlow, PyTorch
  • M.Sc. in Computer Science / Electronic Engineering / Math
  • Abilty to work independently with remote guidance
  • Strong ability to self-learn, come up with solid solutions to problems and lead their execution

Preferred:

  • Ph.D. in Computer Science/Engineering/Math
  • Developing production-grade algorithms
  • Experience with statistical software (R and SPSS)

RFCUNY Benefits

RFCUNY Employee Benefits and Accruals

About the Research Foundation

The Research Foundation of The City University of New York (RFCUNY) was established as a not-for-profit educational corporation chartered by the State of New York in 1963. RFCUNY supports CUNY faculty and staff in identifying and obtaining external support (pre-award) from government and private sponsors and is responsible for the administration of all such funded programs (post-award).

RFCUNY stands between CUNY’s principal investigators (PIs) and the sponsors who support them and strives to fulfill its essential responsibilities to both groups. Working closely with individual PIs and Grants Officers on the campuses, RFCUNY oversees employment, accounting, audit, reporting, purchasing, and special responsibilities that include management of a planned giving program; liaison with governmental agencies and foundations; negotiation of agreements; facility construction and renovation; protection and commercialization of intellectual property; and compliance with applicable standards in research involving human subjects, animal care, environmental and radiological safety, and conflicts of interest.

Equal Employment Opportunity Statement

The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.

Key Features

Department
Status
Part Time
Pay Range
$52.13-$52.13
Hour(s) a week
0.00-19.00
Closing Date
Feb 16, 2023 (Or Until Filled)
Bargaining Unit
No

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