Assist in the collection, preprocessing, and quality assurance of datasets to help us improve the AI Capabilities within Five9.
Support the development and fine-tuning of NLP models/pipelines for tasks such as text classification, clustering, summarization, conversational AI, and retrieval augmented generation using tools like PyTorch, and HuggingFace Transformers.
Collaborate with cross-functional teams to integrate research insights into production pipelines.
Participate in evaluating model performance exploiting suitable methodologies and metrics as well as contribute to iterative improvements.
Stay current with the latest advancements in NLP and machine learning research, contributing ideas that drive innovation.

Requirements

Rising college senior or above, pursuing a post-graduate degree in Computer Science, Artificial Intelligence, Natural Language Processing, or a related field.
Strong programming skills in Python with hands-on experience or a keen interest in data analysis.
Familiarity with machine learning frameworks (PyTorch, Scikit-learn)
Exposure to generative AI/NLP tools, including transformer-based models and Hugging Face Transformers
Experience working with LLM APIs (e.g., OpenAI, Anthropic).
Demonstrated problem-solving skills and a passion for exploring and applying new technologies in AI.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonNLPtext classificationclusteringsummarizationconversational AIretrieval augmented generationmachine learningdata analysisgenerative AI

Soft Skills

problem-solvingcollaborationinnovation