Work in a fast-paced Agile Scrum environment to assist in prototyping, designing, and implementing predictive models and algorithms to create real world solutions
Use statistical, machine learning, and deep learning techniques to create scalable solutions and perform R&D to drive discovery of new generation products
Execute full modeling life cycle including data cleansing, feature creation and iterative model selection
Build scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation
Enjoy experience training/deploying deep learning models
Experience with LLMs
You want to make things work. Coming up with creative solutions comes naturally to you and you\'re comfortable being set loose without a lot of direction
You can easily point to multiple activities and projects that demonstrate how you go above and beyond
You show a sense of ownership and pride in what you do, and you can make us believe you’ll excel
You can easily point to multiple activities and projects that demonstrate how you go above and beyond
You can easily point to multiple activities and projects that demonstrate how you go above and beyond
Requirements
Machine learning experience in grad programs, undergrad programs, research programs or internships
Programming experience in Python or other object-oriented programming languages such as Java, C++, Golang, or Rust
Experience training/deploying deep learning models
Experience with LLMs
You want to make things work. Coming up with creative solutions comes naturally to you and you\'re comfortable being set loose without a lot of direction
You can easily point to multiple activities and projects that demonstrate how you go above and beyond
You’re able to show empathy and work in a team environment