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