Engineering Intern

CheckrDenver, CO
323d$35Hybrid

About The Position

Checkr is looking for Summer 2025 Interns to work on high-value engineering projects that will deliver real-world impact to our customers, candidates, and engineering organization. Inevitably, issues arise within Checkr and external systems, prolonging the background check process which delays candidate's access to employment, housing, and financial opportunities. When you join our team, you will learn how to leverage AI as a productivity enhancer and how to deliver AI-integrated solutions to improve issue visibility, increase system resiliency, and create powerful tools that enable non-Engineering stakeholders to unblock candidates. Checkr's internship program is an amazing opportunity for anyone who is pursuing a career in software development and wishes to learn from a diverse cultural perspective. We are looking for candidates who have a strong understanding of engineering principles and who are interested in learning about generative AI and system scalability. Our interns will embody Checkr's core values of grit, ownership, humility, transparency, and connection as you push to deliver value over the summer.

Requirements

  • Familiarity with Ruby, Python, and/or SQL.
  • Engineering awareness in Backend or Fullstack software development.
  • Enthusiasm and interest in AI.
  • Strong problem solving skills, attention to detail, and pride in your work.
  • Self-awareness and a desire to better yourself.
  • Curiosity about how and why things work.
  • Recently completed or are graduating in Spring 2025 with a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.

Responsibilities

  • Gain experience in enhancing systems to streamline operations, improve resilience, and develop tools that empower stakeholders.
  • Find ways to increase automation in incidents and cloud infrastructure.
  • Work on production-grade data pipelines and make a meaningful impact on how we ship analytics code at Checkr.
  • Work on ML, AI, classical ML techniques, observability, fine-tuning, and RAG, while defining success metrics.

Benefits

  • Hourly pay rate of $35/hour.
  • In-office perks such as lunch four times a week, and an abundance of snacks and beverages.
  • Hybrid work environment with hub locations in Denver, CO, San Francisco, CA, and Santiago, Chile.

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What This Job Offers

Career Level

Intern

Industry

Professional, Scientific, and Technical Services

Education Level

Bachelor's degree

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