Job description

Must have

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

Highly desirable

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

Bonus points for

Public activity in the ML scene (papers, conferences, meetups, videos, open source projects)
Coding skills in any of: C++, Matlab, R, Scala
Background in research/fintech/adtech