Why join Sleep Cycle?
Sleep is one of the few things in life we can safely claim we all have in common. So fundamental to us all, that when we don’t get enough good quality sleep we struggle to function in all other aspects of life.
We were crowned one of the most innovative apps in 2016 by App Store and have been featured in CNN, BBC, Wired, The Guardian, New York Times and The Wall Street Journal.
As a result of a steady organic growth of product and team, Sleep Cycle has over 30 million downloads worldwide, with millions of active users and growing. Sleep Cycle is rated as the best sleep tracker on the market and we are now looking for people who can be a part of our next chapter, growing our product to the next level.
You will be joining a rapidly growing company who will provide a challenging and rewarding role with excellent career opportunities. We don’t have managers that manage managers, we have a flat hierarchy with clear lines of communication as we recognise that everyone has a key part to play in the success of the business. We are very passionate about our product as sleep is something which affects every person - our mission is to improve sleep worldwide and make sure all start clocking in more and better quality sleep.
Machine Learning Engineer
Sleep Cycle alarm clock, launched in 2009, is the most used intelligent sleep tracker in the world. Sleep Cycle makes waking up easy by tracking sleep patterns and waking its user up in the lightest sleep phase while proving sleep quality insights in easy-to-read graphs. As a machine learning engineer you will be working the core functionality that made this possible and made Sleep Cycle what it is today.
Machine learning is a fast moving field with exiting new results being published all the time. In your role you will expected to stay up to date and continually experiment with the latest state-of-the-art algorithms. To improve the performance of current systems as well as innovative new features that can help users to better understand and manage their sleep.
You´re good at:
- Formulating problems in a general machine learning framework
- Modern artificial neural networks.
- Developing custom machine learning models to fit specific needs.
- Understanding the value of collaboration within teams.
- Python, PyTorch, SQL, and Google Cloud Platform
Awesome if you have:
- 3 + years of professional experience working with Machine Learning
- Experience with audio analysis, e.g. audio event detection or voice analysis.
- Analytical mindset and have a data driven approach.