Applied Scientist – AI/ML Intern

🕒 January 23

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Wealth.com

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

☁️ SaaS

💳 Fintech

🤝 B2B

SaaS • Fintech • B2B

Wealth. com is a modern, advisor-led estate planning platform that helps financial advisors, attorneys, trust companies, and enterprises create, visualize, and manage estate plans for clients across all wealth levels. The SaaS platform generates attorney-grade legal documents, provides an AI engine (Ester®) to extract and summarize complex plans, and offers tools like scenario modeling, visual reports, secure storage (Vault), and integrations with financial systems to support end-to-end estate planning workflows. Wealth. com is positioned for B2B distribution through wealth managers and institutions and emphasizes security, regulatory alignment, and scalability.

📋 Description

• 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

🎯 Requirements

• 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 • 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)