AI Intern - Dallas, TX

PhotonUnited States,
Onsite

About The Position

This is a junior-level internship focused on AI engineering and problem-solving. The intern will gain hands-on experience in coding, CI/CD, Docker, debugging, and supporting ML model deployments. The role also involves collaboration, communication, and learning about cloud fundamentals and compliance standards.

Requirements

  • Basic understanding of Python or JavaScript/TypeScript.
  • Willingness to learn CI/CD pipelines and Docker.
  • Ability to investigate and debug technical issues.
  • Good communication skills for team participation.
  • Interest in understanding user needs.
  • Ability to assist with documentation.
  • Familiarity with APIs and data pipelines is a plus.
  • Basic understanding of ML model deployment concepts.
  • Interest in cloud platforms (AWS, GCP, Azure).
  • Awareness of security guidelines and compliance standards (SOC2, GDPR).

Nice To Haves

  • Experience with Python or JavaScript/TypeScript.
  • Familiarity with CI/CD pipelines.
  • Knowledge of Docker containerisation.
  • Experience with debugging tools.
  • Experience with APIs and data pipelines.
  • Experience with ML model deployment.
  • Familiarity with AWS, GCP, or Azure.
  • Understanding of SOC2 and GDPR compliance.

Responsibilities

  • Write clean, readable code in Python or JavaScript/TypeScript with guidance from senior engineers.
  • Learn and assist with CI/CD pipelines and basic Docker containerisation under team supervision.
  • Help investigate and debug technical issues, escalating to senior teammates when needed.
  • Participate in team standups and meetings, asking questions and sharing progress updates.
  • Shadow customer calls and internal reviews to understand how technical work connects to real user needs.
  • Help write and improve documentation, guides, and internal notes for the team.
  • Assist in setting up and testing integrations with APIs and data pipelines under senior guidance.
  • Support the deployment and basic configuration of ML models in test and staging environments.
  • Write small automation scripts and utilities to help the team save time on repetitive tasks.
  • Learn cloud fundamentals on AWS, GCP, or Azure and follow team best practices for safe deployments.
  • Follow security guidelines around data handling, access control, and environment configuration.
  • Build familiarity with compliance standards like SOC2 and GDPR through team exposure and learning.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service