Here we have exciting opportunities to work with SoftRobot. During the internship, you will be supervised by one of our machine learning engineers and work with state-of-the-art tools in NLP and CV. This is a great way to see how AI is used on a practical level to provide insights to end-users. With us, you will collaborate as a team, contribute to the development discussion, and peer into the DevOps infrastructure.
We are looking for passionate and enthusiastic students who are constantly learning in the fields of computer science and AI. We encourage curiosity and flexibility with where you take your ideas and how you transform them into something valuable. We require that our interns have an understanding of Python. Some knowledge of SQL and the Python frameworks/libraries within the scope of AI (e.g. Scikit-learn, Pytorch, Keras, Tensorflow, Huggingface) is a plus.
We would like to investigate the feasibility of constructing a model for a fixed set of hypotheses (statements that are either true, false or not mentioned w.r.t a document); when given a document, the model provides relevant passages (if they exist) for each hypothesis together with a suggested answer.
We would like to investigate and fine-tune a pretrained model for one of two use cases:
We would like to investigate the feasibility of constructing synthetic financial documents with advanced language models (e.g. BERT, GANs, GPT) as valuable input for other services where data is scarce.
When you apply, we ask you to attach a resume and cover letter to firstname.lastname@example.org. Please include the thesis suggestion you choose in the cover letter and why it seems interesting to you. The application review process will be conducted in the late fall.