Machine Learning Engineer

Job description



  • A curious, creative, analytical mindset open for ideas coming from: psychology, neuroscience, econometry, statistics, physics, machine learning and data science
  • Passionate about quick, hands-on prototyping with tight feedback loops
  • Strong knowledge of fundamental statistics, probability theory, information theory, linear algebra
  • Experience in building custom ML algorithms and pipelines from scratch
  • Python, SQL coding knowledge


Highly desirable:


  • Strong core computer science, data structures and algorithms
  • Experienced in working with very large datasets and live production systems
  • Knowledge of gradient boosting and/or deep learning
  • Experience with either: representation learning, semi-supervised learning, reinforcement learning, natural language processing, ranking & recommendation, metaheuristics and optimization, generative models


Nice to have:


  • Public activity in the Machine Learning domain
  • Coding knowledge in any of: C++, Matlab, R, Scala
  • Background in research/fintech