AI Researcher

Nanit is a Tel Aviv-based company that revolutionized the parenting market with innovative baby monitoring technology. Leveraging computer vision, machine learning, and deep learning algorithms, our products offer actionable insights to parents, helping improve their baby's sleep cycles. As a leader in the connected nursery space, we are committed to empowering parents with information and tools to ensure their baby's well-being. Now, as a dynamic, VC-backed startup, we are looking for exceptional talent to join us in our mission to transform the parenting industry further.

Roles & Responsibilities:

• Conduct research and implementation of ML/DL based solutions in the fields of computer vision, audio/speech, and deep learning.
• Working on diverse AI/CV tasks: pose estimation, segmentation, detection, classification, multi-modality (video + sound), sound analysis, 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, analysis errors, improve performance and reduce computation cost, support deployment to production.
• Close work with the AI-Backend (MLOps) and Data teams.
  
  

• At least 3 years of experience in deep learning development for computer vision
• Excellent programming skills in Python
• Experience and theoretic understanding of AI models for vision tasks
• Basic knowledge of classic computer vision algorithms
• Experienced in using at least one of the Deep Learning frameworks: TensorFlow, PyTorch
• M.Sc. in Computer Science / Electronic Engineering / Math
• Developing production-grade algorithms - an advantage
  
  

• We have an awesome product, that makes life a little more manageable for new parents
• We work hard. We are constantly striving to discover new and innovative ways to improve our product and ourselves
• We invest in people. We consider each employee a long-term investment and we see value in continuously nurturing and training them
• We believe in creating a fun, ego-less, family-friendly, flexible work environment