We're building a global AI-driven health record. The premise is straightforward: the future of healthcare depends on continuous, data-informed care, with patient-owned health records at its core. It's a significant shift, aiming to empower individuals over their health data.
We're looking for a Machine Learning Engineer to join us. This is a fully remote role, ideally within the CET timezone. You'll be developing our health record analysis and preventative health models. Your work will directly contribute to how we process, explore, and visualize data, with the larger goal of redefining patient care.
We think you'll need experience with LLMs, building models, and data processing pipeline.
Half our team is in Oslo, the rest are across Europe. If you're interested in a role that combines technical challenge with a clear societal benefit, I'd like to hear from you. You can contact me at sverre at livv.health.
Remote: Yes, preferred
Willing to relocate: Maybe
Technologies: machine learning, deep learning, Python, PyTorch, NumPy/Pandas, flask, SQL, Docker, Rust
Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory), master's theses in finance and neuroscience, application of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction
Résumé/CV: available on request
Expertise in data science and development of ML/DL models across domains (in banking/finance, for domain-specific image analysis and for neuroscience); 6+ years professionally working with Python and machine learning
I'm actively exploring remote opportunities where I can apply my unique combination of skills coming from a math and developer background
Open to freelance/contract work.
E-mail: hn [at-symbol] vixe [dot] re