Offer summary

Qualifications:

Currently pursuing a Bachelor's, Master's OR PhD in Computer Science or related field, Experience with machine learning frameworks like PyTorch/TensorFlow, 1+ years experience in productionizing AI/ML models, 1+ years experience creating publications, Permanent authorization to work in the U.S..

Key responsabilities:

Build ETL data pipelines from complex datasets

Finetune and integrate LLMs into production systems

Train and deploy large-scale NLP and CV models

Design scalable QA RAG frameworks

Collaborate with team to improve AI quality

Job description

Looking to gain practical, hands-on experience in the field of AI/ML? The Wealth.com Technology Internship Program helps passionate early career professionals gain real-world exposure to applying the latest advancements in Large Language Models (LLM), Computer Vision (CV) and Natural Language Processing (NLP) in the legal & financial tech sector.

Applied Scientist Interns work collaboratively with Software Engineers and other Applied Scientists to pursue a broad range of AI initiatives. By using a combination of various state-of-the-art natural language and vision models, interns will help build complex legal AI assistants.

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).

Please note that the U.S. Immigration sponsorship or work visa is not available for this position and candidates must have permanent authorization to work in the U.S.

Required profile