Job description
Essential:
- 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