Machine Learning Intern

Paris /
Software Engineering – Algorithms /
About Dreem

Each and every night, around the world, hundreds of millions of people are trying to sleep but can’t. We’re in the middle of a global sleep crisis with serious ramifications for society. At Dreem, a team of 50 experts is on a mission to beat insomnia, build new ways to analyze the sleep and build the sleep medicine of tomorrow. 
In the 7 years since Dreem’s creation, we’ve collected 2M nights of sleep data and helped thousands of people improve their sleep. We also accumulated 45 patents and completed 3 full hardware iterations and 100s of software iterations. We raised $60M from investors including Laurent Alexandre, Xavier Niel, MAIF, BPI and Johnson & Johnson - the world’s healthcare leader. Along the way we created a research network of 200 leading laboratories and hospitals and a scientific board of 4 of the most renowned neuroscientists and sleep experts in the world. 
Dreem is a fast-paced and dynamic work environment. The team’s fields of expertise encompass sleep research, neuroscience, mechanical engineering, machine learning, electronic design, embedded systems, testing, ergonomics, development of proprietary applications and software, design, marketing and much more. Joining the team is challenging but hugely rewarding- working at Dreem means pushing the boundaries and being able to bring real positive change to people around the world. Ready to join the fight for better sleep?

About the role 


In order to better help our users, Dreem seeks to screen people with a high risk of sleep apnea to then diagnose and treat their sleep apnea. You will work on an innovative project: detecting accurately sleep breathing disturbances with the microphone of a smartphone. You will work on all aspects of ML, from data gathering to model training and optimization for deployment on smartphones. Your work will potentially impact the lives of thousands.

What You Will Do

    • Define and run a data acquisition protocol: In order to collect data on various devices and a variety of subjects you will work with our specialists to define a robust data acquisition protocol that will ensure that your model will perform well in the wild.

    • Build lightweight and efficient models using public and internal datasets: while your data collection protocol will run, you will experiment with several types of Machine Learning and Deep Learning architecture on public and internal datasets.

    • Optimize your architecture for deployment on smartphones: As the end goal is to deploy the model on a smartphone, you will collaborate with our mobile developers to ensure that the model can run smoothly and efficiently on a phone.

    • Evaluate and fine-tune your model on the data you collected: Once your data acquisition protocol will be finished you will be able to fine-tune the model you designed on these data in order to evaluate the performances in a real-life setting

About you

    • Interested in the project and shaping the future of sleep care with technology
    • Studying towards a MSc/PhD in Computer Science, Machine learning or a quantitative field
    • With strong skills in Machine Learning/Deep Learning proven via personal projects, classes, or previous experiences
    • With good knowledge of Python and of a Deep Learning framework (Keras, Torch, Tensorflow)
    • With Knowledge or strong interest in signal processing (spectral analysis, filtering, …), previous experiences/projects with sound are a plus
    • With Organizational skills and a pragmatic mindset, previous experiences building datasets are a bonus
    • Fluent in English
Additional Information

🏡 Great office in the center of Paris (75003)
🍽 Lunchr (Tickets Restaurants)
🏃‍♂️ Gymlib 
🚈 50% pass Navigo or bike indemnities
😴 Sleep with a headband

Why you’ll want to join us @ Dreem: 

- A startup environment with lots of challenges and innovation: no time for boredom!
- You’ll collaborate and learn everyday with world-class talent who are experts in their field and passionate about their daily work: team spirit and progression assured! 
- You'll be kept informed of all progress of the company with weekly and monthly meeting led by the CEO;
- You will collaborate with our teams all over the world (Paris, California, Taipei),
- Remote friendly organization;
- Sleep with a headband 😴