Machine Learning Intern

@ Crossing Hurdles

About Machine Learning Intern

Crossing Hurdles is a recruitment firm connecting top candidates with leading AI research labs. As a Machine Learning Intern, you will work on building and training cutting-edge AI models.

Position Details

Type: Hourly Contract Compensation: $35–$70/hour Duration: Project-based with potential extensions Commitment: Approximately 35 hours per week with flexible scheduling Location: Remote

Role Responsibilities

• Build and maintain GitHub-based project infrastructure including CI/CD workflows.
• Set up and manage containerized environments using Docker and related tools.
• Develop and integrate coding tool environments enabling CLI and API interactions.
• Support RL and LLM research experiments and prototype development.
• Handle data collection, preprocessing, and analysis for ML projects.
• Collaborate asynchronously with research teams on dynamic projects.
• Document workflows, experimental results, and infrastructure clearly and reproducibly.

Ideal Qualifications

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

Application Process

Upload your resume, complete a 15-minute AI interview based on your resume, and submit the form.

Key skills/competency

• Machine Learning
• Reinforcement Learning
• LLM
• Docker
• GitHub
• CI/CD
• CLI
• Data Analysis
• Research
• Collaboration