Computer Vision Deep Learning Algorithm Developer

Nanit is the first smart monitor to combine computer vision with data-backed sleep science, to produce the most advanced and secure camera technology ever introduced to the home. Nanit is combining computer vision, machine learning, and advanced camera sensors to measure a baby's sleep cycle by providing actionable insights that lead to improved sleep for the entire family. We are a dynamic VC-backed startup with proven products, marquee investors and a terrific team of people.

You’ll be joining a passionate and talented team as an Algorithm Developer who participates in the entire algorithm development life cycle, from sketch to scale. You will tackle challenging real-world problems in the areas of video and human behavior analysis, object detection and scene understanding, using cutting edge technologies such as deep learning and multi-task learning.

About the Job:

  • Join a dynamic team of scientists, engineers, parents, designers and sleep experts.
  • Research, design and implement novel computer vision and deep learning algorithms.
  • Work with software engineers to build scalable, deployable machine learning models.
  • Translate computer vision insights into innovation breakthroughs in child development.

Requirements and Capabilities:

  • M.Sc. or Ph.D. in the area of computer vision, machine learning or related domains.
  • At least 2 years of experience in algorithm development.
  • At least 1 year of experience in building deep learning models, preferably using Keras/TensorFlow or PyTorch.
  • A strong team player and collaborator.
  • First-class analytical, design, and problem solving skills, with a proven track record of innovation.
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