The Applied Scientist Intern will:
- Work with complex datasets from various sources to build Extract, Transform, and Load (ETL) data pipelines for downstream tasks
- Finetune and integrate the latest Large Language Models (LLMs) such as OpenAI/Gemini/MistralAI models into production systems.
- Train, finetune and deploy large-scale NLP and CV models to power complex document understanding experiences.
- Design and implement scalable and efficient Q&A RAG frameworks
- Collaborate with other product managers and engineers in the team to build tools to evaluate and improve the end-to-end AI quality of our production systems.
- Effectively communicating and demonstrating work to stakeholders
Basic Qualifications:
- Currently pursuing a Bachelor's, Master’s OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research)
- Experience building sophisticated RAG pipelines with LLMs
- OR Experience with common machine learning, deep learning frameworks like PyTorch/TensorFlow
- OR Experience developing and deploying complex AI/ML models to production
Preferred Qualifications:
- Currently pursuing a Master’s OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research) AND 1+ years related experience (e.g., statistics, predictive analytics, research)
- 1+ year(s) experience productionizing complex AI/ML models
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
- 1+ year(s) experience conducting research as part of a research program (in academic or industry settings).
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