Machine Learning Engineer
Conducting research on the analytical methods, seeking new approaches.
Developing features/network architectures.
Creating pipelines, running experiments and evaluations.
Improving code, optimizing, and bulletproofing the ML solution.
Monitoring data collection and actively influencing its direction.
Analyzing data and providing actionable insights.
MSc or (preferably) PhD in Computer Science, Mathematics, Statistics, Bioinformatics, Biostatistics, Computational Neuroscience or similar.
In-depth knowledge of statistics and machine learning concepts. Expertise in signal processing and deep learning is also strongly recommended.
Proven experience in machine learning projects, in particular, experience with predictive models based on time-series data from sensors.
Good software engineering skills and the ability to productize models.
Proficiency in Python and knowledge of machine learning (scientific) libraries/frameworks such as Sklearn, Scipy, Numpy, Pandas, Tensorflow, Pytorch.
nice to have
Interest in human physiology, medicine, and wellness.
Scientific track record, i.e. papers published in machine learning or similar - conferences.
Participation in Kaggle.
Knowledge of C/C++, Matlab, R.
Opportunity to co-create meaningful technology and products that improve people’s lives
Culture of ownership, openness and trust
Working with professionals in a small dream team
The most effective and proven cooperation methodologies and tools
Freedom and flexibility working remotely or on-site in Wroclaw, Poland
Competitive salary & perks
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