We are a Machine learning startup based in California, we are looking for a talented ML Researcher to work on an exciting NLP project.
Have you ever signed a contract but not really understood what it said? Us too.
Contracts are the foundation of all commerce, but they're basically impossible to understand. They're dense and filled with jargon. Oftentimes, they're literally written in Latin.
SpeedLegal SaaS platform helps founders, angel investors and SMBs instantly understand their contracts, explains every clause and confirms whether each term is in line with market standards.
This software will be offered for free for consumers and charge a fee to the businesses.
You are able to program in Python, and you are familiar with modern Deep Learning and NLP theory and main techniques, such as Transformers, Named Entity Recognition, word embeddings and text classification.
Ideally, you would have applied these techniques in a commercial setting already, but we are very keen also to hear from students or Deep Learning enthusiasts who can show ability to work in the area.
Your task will involve creating an MVP that shows feasibility. We already won the Stanford hackathon and we validated the customer segment and the problem.
What’s in it for you
You will get to practice and improve your Deep Learning and NLP techniques, within an exciting startup. We will provide cloud computing capabilities, to enable you to work on the models.
Initial duration for the internship is 3 months, which can be extended. Location: Remote
And we are happy to offer a monthly reimbursement.
If this role sounds like a good fit, we’d love to hear from you! Think you are missing some of the skills and are hesitant to apply? We do not believe in the ‘perfect’ candidate and encourage you to apply if you feel you can bring value to our team!
Please send your resume when applying.