Backend Team Leader

Nanit

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.

About The Job

If you have a solid background in Software Engineering, a high interest in AI systems in production, and the passion to build great systems that help hundreds of thousands of parents (and their babies) around the world - this is the right place!

What will you do:

• Managing and leading SW developers focusing in the fields of Backend and AI-infrastructure/MLOps.
• Responsible for the team roadmap, team building, and execution of SW projects in the group.
• Close work with the Algorithms and Data teams, solving together cutting-edge real-world problems.
• Promote Software Engineering & System Design best practices, methodologies, and toolsets.
• Design and implement production-grade end-to-end AI solutions for new Nanit features that use Deep Learning models and Computer Vision algorithms.
• Design and implement data platforms and pipelines.
• Lead scale-up projects and technical research in the AI Group.
  
  

• At least 5 years of experience in Software Engineering.
• 0-2 years of experience in leading SW teams.
• B.Sc Computer Science / Software Engineering or related field.
• Experience working on high-scale production-grade projects on a cloud platform (preferred: AWS).
• Strong programming skills in at least one programming language (preferred: Python or Rust).
• Strong ability to self-learn and come up with solid solutions to problems.
• Passion for writing clean, robust code and applying Software Engineering best practices.
  
  

• Experience with ML: training, testing, deployment, and monitoring Machine Learning models in Production
• Experience with DevOps / TensorFlow / PyTorch
• Knowledge in Computer Vision and Machine Learning
• Experience with Data Engineering and Big Data Pipelines
  
  

• Nanit products can actually change lives. We're an integral part of the lives of new parents, making an exciting but stressful time a little more manageable
• We invest in our people. We consider each employee a long-term investment and we see value in continuously helping them to advance in their lives and careers
• An innovative and inclusive work environment.
• A culture that values continuous learning, growth, and innovative thinking.