Backend Team Lead

Nanit is the first smart monitor to merge 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.

The Position

If you have a solid background in Software Engineering, a high interest in AI systems in production and a 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 AI services for new Nanit features that use Deep Learning models and Computer Vision algorithms.
• Collaborate with ML Engineers to research, develop, deploy, and monitor Machine Learning models at a large scale.
• Design and implement MLOps, Data Pipelines, and Big Data supporting solutions.
• Lead scale-up projects and technical research in the AI Group.

If this sounds like you, you probably have

• 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).
• 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.

Nice to have

• Experience with MLOps: 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

Why Nanit

• 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.