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Applied Scientist Internship – NLP
Five9Intern in NLP team at Five9 enhancing AI capabilities through data processing and model support. Collaborating on generative AI technologies and gaining hands-on experience.
Tech Stack
Tools & technologiesPythonPyTorchScikit-Learn
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Paid internship
- Speaker Series
- Intern Buddies
- Employee Resource Groups
- Inclusion in a supportive culture
ATS Keywords
✓ Tailor your resumeApplicant 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