Documents’ meanings change drastically based on context. You’ll help us use NLP and layout to replicate how our brains map that context. Instead of memorizing the values, our models need to be able to generalize the values from other documents and surrounding text.
Reinforcement learning teaches algorithms based on penalty and reward. You’ll help develop tools to put reinforcement learning to work to help reduce the need for training data for our solutions.
Right now, machine learning models learn using lots of data. The more data we feed the system, the better it performs. You’ll help determine how to teach our models to perform better using fewer data.
Confidence scores of a prediction are based on understanding. You’ll help build models to reflect meaningful confidence scores that compensate for the fact that the model could be looking at a narrow band of knowledge to generate its assumptions.
If you’re ready to create AI magic and take your career to the next level, we invite you to consider Infrrd’s residency program.
We’re looking for residents with MS or PhD degrees, relevant STEM experience, or AI wizards.
To apply to the AI residency program,
