MLOps Tech Lead

About Nanit:

The team behind Nanit are experts in those first precious moments of your baby’s life. The company provides products and services that help parents stay informed on their baby’s health, safety and well-being through smarter and better use of technology. In 2016, the Nanit baby monitor revolutionized the industry with computer vision and machine learning capabilities that helped parents help their babies sleep better. Now, the company has become the leader in the connected nursery space, with an incredible customer base of highly-engaged new parents who look to Nanit as a source of information and expertise on their parenting journey.

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

  • Join as a core member of the AI Infrastructure Team and be a key leading role in scaling up Nanit AI core systems
  • Lead the technical research in the MLOps field
  • Lead, design and implement complex projects of AI systems that involve code, data, infrastructure and ML models
  • Design and implement Data Pipelines and Big Data supporting solutions
  • Collaborate with ML Engineers to research, develop, train, deploy and monitor Machine Learning models at large scale
  • Promote Software Engineering & System Design best practices

Requirements:

  • 5+ years experience in Software Engineering
  • BSc Computer Science or related
  • Strong programming skills (preferred language: Python)
  • Experience working on high scale production-grade projects on a cloud platform (prefered: AWS)
  • Experience in building infrastructure solutions
  • Strong ability to self-learn, come up with solid solutions to problems and lead their execution
  • Passion for writing clean and robust code, and applying Software Engineering best practices

Preferred:

  • Previous positions in startup companies
  • Experience with DevOps / MLOps
  • Experience with Data Engineering and Big Data Pipelines
  • Experience ML lifecycle platforms (Kubeflow/MLflow)
  • Experience with training, testing, deployment, and monitoring real-time Machine Learning models in Production
  • Experience with TensorFlow/PyTorch
  • Knowledge in Computer Vision and Machine Learning

Why Nanit?

  • 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 are international and believe our diversity makes our culture, products and brand even better.
  • 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
  • Nanit is a fun, collaborative group of hard workers! We believe in an appropriate work-life balance, and offer a flexible, open environment.
  • We are at the forefront of innovation, creating products and services that have never been seen before.

We are proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class.

To apply for this job please visit www.nanit.com.

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