FAQs
What is the main focus of this internship?
The main focus of this internship is to conduct research using statistical AI models, deep learning, and transformer-based algorithms, while developing application use cases in various domains such as chatbots and physics-based simulations.
What academic qualifications are required for this internship?
Candidates must be currently enrolled in an MS or PhD program in Artificial Intelligence, Computer Science, Information Technology, or a related field.
What programming languages should applicants be proficient in?
Applicants should have experience programming in Python and C.
What specific AI framework experience is required?
Candidates should have experience with TensorFlow and be familiar with creating and leveraging deep learning Python libraries.
Are there any preferred language skills for this role?
Yes, proficiency in Russian is considered a plus.
What are the main responsibilities of the intern?
Intern responsibilities include implementing training algorithms, creating data reduction models, optimizing machine learning models, training large language models, deploying applications at scale, writing documentation and tests, and collaborating with experts in various fields.
Is experience with NLP techniques required?
Yes, candidates should have a good knowledge of standard NLP techniques such as semantic similarity, language modeling, content retrieval, question answering, and summarization.
Will the intern work alone or as part of a team?
The intern will work in a team environment alongside physics/propulsion experts, software developers, and statistical/business case users.
What are the expectations regarding the intern's documentation and testing skills?
The intern is expected to write documentation and tests for their code to ensure clarity and maintainability.
Is there an opportunity for the intern to contribute to real-time applications?
Yes, one of the responsibilities includes optimizing machine learning models to ensure real-time performance.