Key Responsibilities
We are seeking candidates with strong expertise in areas such as Large Language Models (LLMs), Natural Language Processing (NLP/NLU), Generative AI, Transformers, fine-tuning techniques, recommendation systems, deep learning, Named Entity Recognition (NER), statistics, neural networks, and question answering systems.
In this role, you will collaborate with global experts to design and implement innovative, scalable algorithms and modeling approaches that push the boundaries of LLMs and Generative AI. You will work on complex, real-world problems using production-scale data, with a focus on recommendation systems, question answering, deep learning, and generative AI applications.
The ideal candidate thrives in collaborative environments, working effectively across diverse and cross-functional teams to solve challenging business problems. You are a self-starter who is comfortable navigating ambiguity, detail-oriented, and capable of excelling in a fast-paced, dynamic setting.
A Day in the Life
- Partner with cross-functional teams to solve complex challenges in natural language processing, computer vision, and generative AI
- Fine-tune state-of-the-art models and develop novel algorithms to advance cutting-edge capabilities
- Explore and apply generative AI solutions across a wide range of real-world use cases
- Participate in advanced research discussions and engage with leading experts in the field
- Utilize modern computing infrastructure and access the latest research to drive innovation
- Share insights and present your work, contributing to a culture of learning and knowledge exchange
Basic Qualifications
- Currently enrolled in a PhD program
- Willingness and ability to relocate to the internship location
- Proficiency in programming languages such as Java, C++, Python, or similar
- Availability to work full-time (40 hours per week) for the entire duration of the internship
Preferred Qualifications
- Publications in top-tier peer-reviewed conferences or journals
- Experience developing models for real-world or business applications