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