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Job description
Algorithm Engineer – Internship
Remote · Full time
What you will be doing:
Beacon Biosignals is seeking an Algorithm engineer intern! You’ll work alongside fellow data scientists, neuroscientists, engineers, and clinicians as part of Beacon’s Analytics and Machine Learning domain to help us improve our machine and deep learning models. You will benefit from the experience and mentorship of our expert machine-learning team.
At Beacon, we’ve found that cultural and scientific impact is driven most by those who lead by example. As such, we’re always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and—most of all—a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.
Beacon’s robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City and Paris. The internship for this position will be located in our Paris office.
Ready to join the fight for better sleep?
What success looks like: • Collaborate closely with Algorithms and Machine Learning team members to push the boundaries of our current deep-learning models • Get familiar with the Beacon data and software environment (Julia, Python, Pytorch) • Work on literature reviews to spot the latest methods that may be useful to apply Deep learning models to large and heterogeneous Sleep datasets. • Implement state-of-the-art methods on the Beacon datasets • Improve and design deep learning models to improve our algorithms on internal datasets • Ensure your models’ implementations are easy to use, well-documented, and well-tested by following best practices (Unit test, documentation, CI, non-regression, …)
What you will bring: • Be in your last year student in an MSc/PhD in Computer Science, Machine learning, or a quantitative field • Strong skills in Deep Learning, proven via successful experience(s)/project(s) • Best practices in software engineering (test, Github, documentation, Dockerization, CI/CD) or willingness to learn and apply them • Experience with Torch (preferred) or another deep learning framework to train, develop, and use Deep learning model • Rigor and desire to learn new topics • Fluent in English