Machine Learning Engineer

accountabilities

  • 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.

requirements

  • 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.

we offer

  • 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