Napper | Lead Machine Learning Engineer | Stockholm | ONSITE | Full-time | 70K-100K EUR
We are a small and highly ambitious team developing Napper, an app providing AI driven baby sleep predictions for families around the world. We are already profitable and growing quickly with 120,000 daily active users and over 1 million downloads.
You will work hand in hand with the CTO and CEO on developing production-ready features using machine learning. Leading ML engineering at Napper, you will own the full machine learning lifecycle, from developing data pipelines for hundreds of millions of baby sleep logs to applying the latest research to improve our sleep prediction engine. During product development, you will bring the data perspective and identify unique opportunities that can be achieved using your experience in machine learning. We don't believe in micromanagement – you'll have the freedom to tackle challenges with your creative solutions and problem-solving expertise.
Our philosophy is to hire selectively and invest heavily in the people who work with us.
We are a small, highly ambitious and fun (arguably) team developing an app that improves child sleep for families around the world. We have top-tier international investors, are already profitable and growing quickly with 75.000 daily active users and almost 1 million downloads.
We are searching for passionate people:
A frontend-engineer to lead the app development (React Native) and be part of pushing the boundaries of product development. Someone who loves creating outstanding user experiences.
A full-stack engineer to work across our App (React Native), serverless API (TypeScript) and data/ML infrastructure (Python). Someone excited to use all available tools and their full creativity to solve the wide range of technical challenges that scaling outstanding products includes.
Our philosophy is to hire selectively and invest heavily in the people who work with us.
Dasung actually make a 13" version of this, which I own and have used outside in Egypt a lot while I lived there. It's a VERY sunny country, and normal laptop screens are almost unusable outside.
My model is a few years older and things have probably improved since then (quality, refresh rate, interop with the OS to trigger things like full refreshes), but it was already fairly workable back then.
I also use a phone with an e-ink screen (Hisense A9) as my daily driver and it's quite nice, some software issues notwithstanding.
We are a small and highly ambitious team developing Napper, an app providing AI driven baby sleep predictions for families around the world. We are already profitable and growing quickly with 120,000 daily active users and over 1 million downloads.
You will work hand in hand with the CTO and CEO on developing production-ready features using machine learning. Leading ML engineering at Napper, you will own the full machine learning lifecycle, from developing data pipelines for hundreds of millions of baby sleep logs to applying the latest research to improve our sleep prediction engine. During product development, you will bring the data perspective and identify unique opportunities that can be achieved using your experience in machine learning. We don't believe in micromanagement – you'll have the freedom to tackle challenges with your creative solutions and problem-solving expertise.
Our philosophy is to hire selectively and invest heavily in the people who work with us.
https://napper.app
Apply to apply@napper.app