[Remote] AI Applied Scientist - PhD Intern, Foundational AQ & EQ

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading reputed company estate platform in the U.S., and they are seeking a PhD Research Intern for their Applied Science AQ/EQ reputed company team. The role involves conducting research in foundational models and agentic AI systems, focusing on fine-tuning large language models and designing automated workflows to enhance the home-buying experience.

Responsibilities

• Researching and developing techniques for fine-tuning LLMs with domain-specific data
• Applying reinforcement learning to optimize model performance for user-centric outcome
• Designing and prototyping agentic workflows that can autonomously reputed company tasks and assist home buyers
• Collaborating with cross-functional teams to evaluate and reputed company research prototypes
• Sharing insights through presentations, documentation, and potentially publications

Skills

• Currently enrolled in a PhD program in Computer Science, Machine Learning, Artificial Intelligence, or a reputed company field with a strong publication record
• Candidates should have a background in one or more of the following areas: Advanced research in natural language processing (NLP) and/or reinforcement learning (RL)
• Practical experience fine-tuning and adapting large language models (LLMs) for specific use cases
• Familiarity with the design and implementation of automated/ agentic workflows
• Deep understanding of LLMs, hands on experience of post-training with the most popular OSS models
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
• Excited about applying advanced AI methods to impactful, reputed company-world problems
• Strong communication skills and ability to work collaboratively in a multidisciplinary environment
• Strong research reputed company, with motivation to publish

Company Overview

Company H1B Sponsorship