Senior AI Backend Engineer
2 weeks ago
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.
Requirements:
- 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.
Nice To Have:
- 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
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 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.
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