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Regeneron

Summer Intern, AI/ML, Data Engineering

Regeneron

. Build and test AI solutions used on real systems .

Posted 10/28/2026full-timeUnited StatesEntry Level💰 $18 - $51 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in Python and SQL for building AI solutions and data pipelines, while applying natural language processing techniques and machine learning packages. Collaborates effectively with cross-functional teams to address complex problems and automate workflows using AI technologies.

Highest-signal resume keywords
Python ProgrammingSQL ProficiencyNatural Language ProcessingMachine Learning FamiliarityData Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Solutions DevelopmentData Pipeline ModernizationAI Model EvaluationSoftware Engineering FundamentalsText Mining
Soft Skills
LeadershipCollaborationProblem-Solving
Tools & Technologies
AI-Assisted Coding ToolsLLM-Powered Applications
Industry Keywords
Computer ScienceData ScienceStatisticsBioinformaticsInformation TechnologyMathematicsBiomedical Engineering

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Build and test AI solutions used on real systems
  • Build AI agents and LLM-powered applications
  • Mine text using natural language processing
  • Build and modernize data pipelines and semantic data models
  • Evaluate and validate AI tools and models
  • Automate routine workflows with AI-assisted coding tools
  • Perform hands-on software and data engineering
  • Work with scientists and business teams to understand problems
  • Use AI responsibly and in a well-governed manner

Requirements

What you’ll need
  • Must be enrolled in, or accepted to, an academic program pursuing an Undergraduate or Graduate degree
  • Must be returning to school the semester following the position or graduating after the position
  • Python, SQL, and software engineering fundamentals are typically expected
  • Familiarity with LLM prompting or machine learning packages
  • Relevant majors include Computer Science, Data Science, Statistics, Bioinformatics, Information Technology, Mathematics, and Biomedical Engineering
  • Demonstrated leadership preferred
  • Cumulative GPA of 3.0 or higher preferred
  • Background checks may verify identity, right to work, and educational qualifications

Benefits

Comp & perks
  • Annual bonuses or other incentive plans
  • Equity awards
  • Pension or retirement benefits
  • 401(k) company match
  • Health and wellness programs
  • Fitness centers
  • Medical, dental, vision, life and disability insurance benefits
  • Paid time off
  • Family support benefits
  • Reasonable accommodation during the recruitment process where required