[Remote] AI reputed company 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 reputed company Science AQ/EQ reputed company team. The role involves conducting research in foundational models and reputed company 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-reputed company outcome
- Designing and prototyping reputed company 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, reputed company 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/ reputed company workflows
- Deep understanding of LLMs, hands on experience of post-training with the most reputed company OSS models
- Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
- Excited about applying advanced AI reputed company 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
reputed company
Company H1B Sponsorship