PhD GenAI Research Scientist Intern
PhD intern researches and develops techniques to adapt LLMs and AI systems for enterprise domains, including method design, evaluation, and efficient post-training. Requires deep learning proficiency, PyTorch skills, and ongoing PhD studies.
About the job
Job Summary
Research intern focused on advancing domain adaptation for LLMs and AI systems in enterprise contexts, tackling challenges like scaling evaluations, synthetic data fine-tuning, retrieval augmentation, and efficient inference.
Responsibilities
- Adapt, improve, and evaluate methods from literature for domain adaptation.
- Design new methods for domain adaptation.
- Compose multiple methods into efficient post-training recipes.
- Evaluate LLMs and AI systems.
Qualifications
Required:
- Research experience and proficiency in deep learning fundamentals.
- Pursuing PhD in computer science or related fields (e.g., electrical engineering, neuroscience, physics, math).
- Proficient software engineering skills, including PyTorch.
Skills
PyTorch, Deep Learning, LLMs, Domain Adaptation, Synthetic Data, Retrieval Augmentation, Ai Evaluation
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