Applied Scientist, Wealth.com

• 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

Desirable

• 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
• This internship program begins in January for 3 months with an option to extend based on performance