Responsible for implementing various algorithms to do automated feature extraction and dataset augmentation, optimizing runtimes of neural network algorithms and building higher-level abstractions for various common AI/ML techniques. As an ML engineer, they will also work cross functionally amongst other engineers, on common ML operation tasks such as ML data management and training and model deployment, as well as build systems that are scalable.

Candidates will need to have a BS in computer science from an accredited university OR have 5 years of professional work experience. In addition, we are looking for software engineers who have the following:

• 5 years of professional software engineering experience. Some experience with Python is required.
• Have at least 1 year of professional work experience in one of the following: data infrastructure, ML/AI models in production, neural network algorithms, performance optimization of deep learning systems.