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Computer Vision Engineer / Facial Landmark Detection / Machine Learning at Motion Recruitment in New York, NY



$100K — $200K *


Data Science & Machine Learning


Less than 5 years

Job Description

A leading platform for beauty and cosmetic information is hiring a Computer Vision Engineer with a strong background in Facial Landmark Detection and Machine Learning. This company is headquartered in Manhattan and has both public and business-facing interfaces to provide a collaborative community.

The Facial Recognition Engineer will work closely with the CTO to create pipelines, classifications and qualifiers, improve and implement new training models and push their technical initiatives forward. An idal candidate will have a strong background with Facial Landmark Detection, OpenCV and Python/C++.

Required Skills & Experience

  • 2+ years of experience as a Computer Vision, Machine Learning or AI Engineer
  • Experience with Facial Landmark Detection
  • Experience with Python/C++
  • Masters or PhD in Physics, Computer Science, Math, Engineering or similar

Desired Skills & Experience

  • Professional experie
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Valid through: 7/16/2020

About Motion Recruitment

Within the IT landscape, change is constant. Emerging new tech trends, project shifts, mergers and acquisitions, and even macroeconomic influences can all make planning for your team’s expansion or your own tech career, well, overwhelming.

Motion helps navigate these changes and the road ahead with a comprehensive and adaptable suite of IT recruitment solutions delivered within specialized technical and geographic market disciplines. Offering a full array of IT Staffing & Recruiting solutions, we help companies find, attract, hire and grow with the best tech talent on the market.

Motion’s network of Agencies, Jobspring and Workbridge, build distinct local networks of tech talent and tech employers across a vast footprint of 16 North American markets. Three National Talent Services delivery centers also remotely service all 50 states and multiple Canadian provinces.

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* Ladders Estimates

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