Job Description

In this role you will:

Create experiments and develop prototypes, with the goal of developing robust and efficient production-ready software.Collaborate with product management, sales/engagement management, and engineering departments to understand company needs and devise ML/AI-powered solutions.Drive technical projects forward, holding a tremendous amount of responsibility and direct impact to the business.Build internal and external tools that will increase the productivity of teams leveraging the ML/AI-based systems.Build demos, guidance documentation, and assist with training to help increase proficiency for our internal/external customers.Test and apply cutting-edge ML/AI research to develop new and improved products, processes, or technologies.

We are looking for:

MS or PhD in a quantitative field (Computer Science, Engineering, Physics, etc.).Strong fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required.Familiar with ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices.Familiar with good development practice and process with source version control software, e.g., Git.Experience with modern ML/Data/Cloud engineering technical stack (AWS, Snowflake, DataBricks, Airflow, etc.) is a strong plus.Detail oriented with excellent communication and collaboration skills.Passionate about ML/AI and how it can improve the world.