Data Science & Machine Learning Engineer (Internship)

Do you want to be a part of transforming healthcare into actually caring about health?
Are you passionate about the latest technologies and innovations within digital health?
Can you see yourself working in an ambitious and aspiring early stage health-tech startup?

Then join us and help design the health solutions of tomorrow!

Company description
Liv is a health-tech startup on a mission to make health easy and accessible for all. Our vision is to become the world leader in prediction and prevention of illnesses due to lifestyle.

Our AI-driven health assistant helps you build self-awareness and understand how your lifestyle and everyday behavior affects your health, body, mind and performance. By analyzing massive amounts of continuous healthcare data and correlating it with your behavioral patterns, allow us to build personalized recommendation engines and predictive models tailored to each individual.

We aim to improve and extend the quality of people’s lives by helping them make the right lifestyle choices everyday – and ultimately prevent them from becoming chronically ill and dying prematurely.

Competences & requirements – Who are you?

• A Bachelor's, Master's or higher university degree in Data Science, Biomedical Sciences, Machine Learning, AI, Computer Science, Statistics, Applied Mathematics or related technical fields.
• Solid programming skills in Python and knowledge of algorithms and data structures.
• Knowledge or experience in the field of Computer Vision.
• Passion for ML/AI and experience with one or several of the Deep Learning frameworks like TensorFlow, PyTorch or Scikit-Learn.
• Knowledge of math, probability, statistics, and algorithms used for time-series data.
• Experience with model validation, accuracy, verification and visualization.
• Independent worker with a curious and research-oriented mindset.
• General interest in proactive health-related sciences.
• Excellent spoken and written communication skills in English.
• Experience working with bio-signals (e.g. ECG, PPG, HR) or signal processing is a  massive plus.

Responsibilities

• Develop Computer Vision ML models for extraction of vital signs.
• Conduct literature reviews and use state-of-the-art research methods to test, validate and deploy a working (and well performing) ML model.
• Manage data pipelining surrounding the development of ML models.
• Identifying correlations and patterns from the gathered data sources.
• Classifying and predicting certain health biometrics and conditions from produced data.
• Create data visualizations for internal purposes and for our user-facing platforms.

Add-on competences (nice to have, not key requirements)

• Knowledge about Firebase (Firestore structure and usage).
• Experience with deployment of ML models into various app frameworks.
• Experience in addressing research problems, to frame research ideas to fit business purposes.

Starting date: As soon as possible.

Duration: 3-6 months, with a possibility of extension and/or a possibility of hiring on a part-time/full-time basis after the internship is concluded.

Required: For this position, it is a requirement that you will be based in the Copenhagen Region and will be able to join us physically at our offices on a weekly basis.

Employment: This is an unpaid internship and we welcome students, recent graduates or individuals seeking to flex their AI and Machine Learning experience to apply for this role. We also invite students who are interested to do their Bachelor’s or Master’s thesis in collaboration with our company.

Location: Our office is located in central Copenhagen, Denmark.

We are looking forward to hearing from you!

Please write in your application that you've seen the job at Jobfinder