Intern, AI Science

Required Intern, AI Science
Responsibilities
How youll contribute:
As an AI Scientist Intern, you will have the opportunity to apply and grow your skills in natural language processing (NLP) and large language models (LLMs).
You will work with diverse, multi-modal data types at a massive scale, leveraging proprietary data to help unlock insights.
This role will provide you with hands-on experience in advanced model fine-tuning, transfer learning, prompt engineering, few-shot learning, and data augmentation methods to build both predictive and generative
models, fueling innovation across our products.
You will collaborate with our cross-functional teamsincluding data engineers, ML architects, product managers, and business analyststo support the development of high-performance LLM pipelines.
You will assist in designing and executing research strategies for optimizing model architecture, prompt optimization, tokenizer customization, data curation, noise reduction, and hyper-parameter tuning to meet our complex and large-scale data challenges.
Under the guidance of senior team members, you will help provide stakeholders with an understanding of how to utilize LLM models, embeddings, and vector databases to meet critical business needs.
You will also have the chance to contribute to projects that are at the forefront of advancements in generative AI, reinforcement learning, and self-supervised learning.
This internship will immerse you in the end-to-end development of LLM workflows, from hypothesis generation and model fine-tuning to data preprocessing and A/B testing.
You will be part of a continuous feedback loop for model retraining and precision tuning, ensuring alignment with shifting data scales and complex multi-domain applications.
You will also learn to use interpretability tools to understand LLM outputs and contribute to a team that is focused on maximizing the impact of cutting-edge AI capabilities.