Job Description:
- Collaborate with data science researchers to build, implement and maintain frameworks and abstractions
- Build tools that will increase the productivity of teams developing ML-based systems
- Develop working prototypes, proof of concepts, algorithms, and predictive models
- Build demos and conduct training to help data scientists effectively use the product
- Demonstrate and apply theories through research efforts to develop new and improved products, processes, or technologies
- Collaborate with product management and engineering departments to understand company needs and devise ML powered solutions
- Participate in cutting-edge research in artificial intelligence and machine learning application
Requirements:
- BS, MS or PhD in a quantitative field (CS, Engineering, Physics, etc.) with demonstrated use of ML techniques
- Strong fundamentals in ML algorithms (i.e. neural networks, tree-based methods, unsupervised learning, feature engineering), programming, statistics, and mathematics
- Familiar with ML/AI frameworks, e.g,. TensorFlow, PyTorch, and modular/modern software design practices.
- Passionate about ML/AI and how it can improve financial inclusion in emerging markets