Lead Machine Learning Engineer

Job Description

1. Collaborate with data science researchers to build, implement and maintain frameworks and abstractions
2. Build tools that will increase the productivity of teams developing ML-based systems
3. Develop working prototypes, proof of concepts, algorithms, and predictive models
4. Build demos and conduct training to help data scientists effectively use the product
5. Demonstrate and apply theories through research efforts to develop new and improved products, processes, or technologies
6. Collaborate with product management and engineering departments to understand company needs and devise ML powered solutions
7. Participate in cutting-edge research in artificial intelligence and machine learning application

Requirements

1. BS, MS or PhD in a quantitative field (CS, Engineering, Physics, etc.) with demonstrated use of ML techniques
2. Strong fundamentals in ML algorithms (i.e. neural networks, tree-based methods, unsupervised learning, feature engineering), programming, statistics, and mathematics
3. Familiar with ML/AI frameworks, e.g., TensorFlow, PyTorch, and modular/modern software design practices.
4. Passionate about ML/AI and how it can improve financial inclusion in emerging markets