The Applied Scientist Intern will develop and deploy AI models, build ETL pipelines, and collaborate to enhance AI quality in legal tech.
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.
Top Skills
Computer Vision
ETL
Large Language Models
Natural Language Processing
PyTorch
TensorFlow
Similar Jobs
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
The Lead SAP Procure to Pay Analyst will manage SAP MM and FI configurations, support OpenText VIM integration, and lead end-to-end procure-to-pay processes.
Top Skills:
AbapIntelligent CaptureJIRAOpentext VimSap Cloud PlatformSap S/4HanaSharepointVertex Tax O-Series
AdTech • Digital Media • Marketing Tech
The Analyst will develop reporting solutions, analyze data sets to enhance sales strategies, ensure data quality, and collaborate with teams to identify improvements in business processes.
Top Skills:
ExcelLookerPythonRSQLTableau
Information Technology • Insurance • Software
The Manager, Solution Consulting leads a team to enhance pre-sales excellence by providing solution demonstrations. Responsibilities include team mentoring, collaborating with sales, and understanding customer challenges to drive successful outcomes.
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
