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Machine Learning Specialist

LYS Technologies makes light Healthy. Our proprietary data and machine learning algorithms turn any light source, into a healthy light source. Our technology enables our clients to produce human-centric circadian light, which has applications from lighting and construction, to automobile and consumer electronics. The company develops data-driven SaaS solutions to improve health from sleep to patient recovery times. The data is collected by a patented wearable light sensor, called the LYS Button.

LYS Technologies is a young high-tech company, operated out of Copenhagen. You'll be working on state of the art technology, building on the latest research and LYS' proprietary database, collected by the LYS Button light sensor across 53 countries. This type of data has never been collected before on such a wide scale and there are opportunities for new discoveries to further our understanding of light's impact on sleep and health.

Responsibilities

  • Use LYS' proprietary data to design and build Machine Learning algorithms

  • Inform and build new products across our core business lines

  • Contribute to publishable papers yielded by the data

  • Design and perform experiments to test the effectiveness of the products we build

Requirements

Here are some of the things we think will be valuable, but we're also open-minded. If you recognise yourself in any of these then we’d love to hear from you.

  • Masters/PhD or equivalent experience in a quantitative field such as Computer Science, Statistics, Mathematics or Engineering

  • >2 years experience applying Machine Learning to real-world problems

  • Experience in deep learning, machine learning, reinforcement learning or statistics

  • Comfortable coding in Python and/or SQL

  • Familiarity with common ML/ Data Science tools such as Pandas/ Numpy, Scikit learn, Tensorflow / Keras

  • Experience with cloud infrastructure (GCP, AWS, Azure)

  • Experience with implementing numerical methods and data visualisation

Perks

  • Competitive salary

  • Modern office in central Copenhagen (Bloxhub on Bryghusgade 8)

  • Regular social events

  • Complimentary tea and coffee

  • Possibility of working from home on some days

For more information or questions please contact us at hugo@lystechnologies.io or phone number 004528102898


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