We have an exciting internship opportunity in our newly formed AI Team. The role of the intern will be to conduct research using statistical AI models, deep learning and transformer based algorithms, and developing application use cases ranging from grounded-response chatbot, application engineering, to complicated physics based rocket launches. The intern will work with a team of internal and external experts in the field of Turbomachinery, Software Development, AI and the interaction of simulation and physical world.
Job Responsibilities
- Implement Training Algorithms based on statistical models and correlate with physical model interaction
- Create data reduction models to reduce computational resources
- Optimize machine learning models to ensure real-time performance by minimizing GPU memory usage and maximizing speed
- Train/Fine-tune Large Language Models(LLMs) and semantic similarity models efficiently with GPU acceleration techniques
- Efficiently deploy LLM based applications at scale to asynchronously respond to multiple concurrent requests
- Write documentation and tests for code
- Work in a team environment of Physics/Propulsion Experts, Software Developers and statistical/business case users.
Requirements for position:
- Currently enrolled in an MS or PhD program in Artificial Intelligence, Computer Science, Information technology, or related field
- Experience with Tensorflow and creating/leveraging deep learning Python Libraries
- Experience programming in Python and C
- Good knowledge of standard NLP techniques like Semantic similarity, Language Modelling, content retrieval, question answering and summarization
- Russian is a plus.