Lead Machine Learning Engineer
About this position
Responsibilities
• 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