ML Engineering Intern

About the Role

The ML Engineering Intern at Crossing Hurdles will work on building and maintaining GitHub-based project infrastructure including CI/CD workflows, managing containerized environments with Docker, and developing CLI and API integrations to support reinforcement learning (RL) and large language model (LLM) research experiments.

Responsibilities

• Build and maintain project infrastructure on GitHub
• Set up and manage Docker containerized environments
• Develop CLI and API based tooling for agent interactions
• Support RL and LLM research experiments and prototypes
• Handle data collection, preprocessing, and analysis
• Collaborate asynchronously with research teams
• Document workflows, experimental results, and infrastructure

Ideal Qualifications

• Background in machine learning, reinforcement learning, or relevant coursework
• Experience with LLM or RL projects (e.g., GitHub contributions)
• Proficiency with Docker, CLI tooling, and GitHub project management
• Experience in building integrations and managing data pipelines
• Ability to balance engineering-heavy tasks with research activities
• Comfortable in a fast-paced, startup-like environment
• Prior research lab or team project experience is a plus

Application Process

• Upload resume
• AI interview based on your resume (15 min)
• Submit form

Key skills/competency

• ML
• GitHub
• CI/CD
• Docker
• CLI
• API
• Reinforcement Learning
• LLM
• Data Pipelines
• Research