Jobs · Analyst

Applied Scientist- AI/ML Intern

Wealth.com · United States · 2 mo ago
RemoteRemoteAnalyst$45–$55/hrVolunteer

About the role

The Wealth.com Technology Internship Program offers practical, hands-on experience in AI/ML to early career professionals. Applied Scientist Interns collaborate with Software Engineers and other Applied Scientists on a variety of AI initiatives.

Responsibilities

  • 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 communicate and demonstrate 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
  • Experience with common machine learning, deep learning frameworks like PyTorch/TensorFlow
  • Experience developing and deploying complex AI/ML models to production

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)
  • 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)

Pay

$45- $55/ Hour

Schedule

Remote/United States

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