Be the first to try a brand new demo of DeepPavlov Library!
DEEPPAVLOV PRODUCTS
 
This program is for aspiring graduate and undergraduate students who are passionate about Conversational AI technology and offer diverse perspectives.

Our Holy Grail at NLP is to enable computers achieve human-like comprehension of texts/languages. To get through our Challenges we don't just value differences, we seek them out. We invite them in.
CALL FOR PROPOSALS - 2024
DeepPavlov Library Contributor

One of our objectives is to further develop DeepPavlov Library — can open-source library of pretrained NLP models that has over 6K stars on GitHub and hundreds of customers worldwide. At the moment the DeepPavlov Library team is focused on building cutting-edge multilingual NLP models. Directions include, but are not limited to:

  • Building groundbreaking multi-entity Named-Entity Recognition models capable of recognising over 30 types of entities
  • Fine-tuning aspect-based Sentiment Analysis models
  • Building multilingual Question Answering models

You can try out some of our models at DeepPavlov Demo page.

Dialog Flow Framework Contributor

The Dialog Flow Framework (DFF) stands as a testament to our commitment to revolutionize the landscape of open-source dialogue systems. As part of our continuous efforts, we present open tasks for DFF, a cutting-edge, lightweight, open-source framework designed to empower developers in building sophisticated dialog systems driven by state-of-the-art machine learning models. Implementation of models, open-source development tasks:

  • Development of a modern framework for creating dialogue systems based on machine learning models
  • Document creation systems (analysis, reports, legal materials, etc.) based on templates and structured/unstructured data sources
  • Development of non-trivial pipelines and their optimization for RAG systems
  • Data structuring systems based on unstructured sources
  • Processing complex queries in systems with logical reasoning and resolution of connections between data sources
DeepPavlov InternSHIP Opportunities
You will work on cutting-edge AI technology. All our AI is built in-house.
You will have the opportunity to:
What Will You Do
  • Contribute to our Natural Language Processing stack
  • Experiment with, apply, and benchmark new algorithms
  • Learn to productize cutting-edge research
  • Work in a high-growth, dynamic and worldwide project
What Should You Have
  • You have a background in/you are studying computer science, linguistics, or a related field
  • You followed courses in machine learning, either online or during your bachelor/master.
  • You having provable machine learning experience is a strong plus (E.g., private projects)
What's In It For You
  • You get to learn something
  • External announcement of your work, prepare a paper
  • Potential future employment opportunity at DeepPavlov.a
INTERNSHIPS Summary
  • 20 Weekly Hours
  • 2-3 Month
  • Unpaid
  • Remote
Selection stages
Choose Project & Apply To It
Сomplete Test Assignment
Pass Interview
Start Internship!
Excited? JOIN US!