Senior AI Backend Engineer

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 combines 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.

If you have a solid background in Software Engineering, a high interest in Machine Learning, 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 you will do:

• Become a core member of the AI Backend team, focusing on backend and AI/ML development in cloud environments.
• Design and implement backend solutions in the ML/AI fields.
• Design and implement complex projects of AI systems that involve code, data, infrastructure, and AI models.
• Design and implement AI services for new Nanit features that use Deep Learning models, Computer Vision algorithms and GenAI.
• Design and implement Data Pipelines and Big Data supporting solutions.
• Close work with the Algorithms and Data labeling teams, solving together cutting edge real world problems.
• Lead scale-up projects and technical research addressing distributed systems and large-scale infrastructure challenges within the AI Group and Backend Guild.
• Promote Software Engineering & System Design best practices.
  
  

• 5+ years of experience in Software Engineering.
• B.Sc in 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 Rust/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.
  
  

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

• 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 products 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.