Machine Learning Intern

@ Crossing Hurdles

About the Role

The Machine Learning Intern at Crossing Hurdles works with world-leading AI research labs to build and train cutting-edge AI models. This is a remote, project-based contract role requiring approximately 35 hours per week with flexible scheduling.

Role Responsibilities

• Build and maintain GitHub project infrastructure with CI/CD workflows
• Set up and manage containerized environments using Docker and related tools
• Develop and integrate CLI and API tool environments
• Support reinforcement learning (RL) and large language model (LLM) experiments and prototype development
• Handle data collection, preprocessing, and analysis for ML projects
• Collaborate asynchronously with research teams in a dynamic startup-like environment
• Document workflows, experimental results, and infrastructure clearly and reproducibly

Ideal Qualifications

• Background in machine learning, reinforcement learning, or equivalent coursework
• Experience with LLM or RL-related projects and GitHub contributions
• Proficient with Docker, CLI tooling, and GitHub project management
• Experience in building integrations and managing data pipelines
• Ability to balance engineering and research tasks
• Prior research lab or team project experience is a plus

Application Process

• Upload your resume
• Engage in an AI interview based on your resume (15 min)
• Submit the application form

Key skills/competency

• machine learning
• reinforcement learning
• GitHub
• CI/CD
• Docker
• APIs
• CLI
• data preprocessing
• research
• prototype development