ML Engineering Intern

@ Crossing Hurdles

Overview

The ML Engineering Intern role at ML Engineering Intern involves working on cutting-edge AI model training and research support at Crossing Hurdles. This remote, hourly contractor position is project-based with flexible scheduling and potential extensions based on research needs.

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 for 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 to adapt to project changes
• Document workflows, experimental results, and infrastructure guidelines

Ideal Qualifications

• Background in machine learning, reinforcement learning, or related coursework
• Experience with LLM or RL projects, e.g., GitHub repositories
• Proficiency with Docker, CLI tooling, and GitHub project management
• Experience in building integrations and managing 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 an AI interview based on your resume, and submit a form to apply.

Key skills/competency

• Machine Learning
• Reinforcement Learning
• LLM
• CI/CD
• Docker
• CLI
• GitHub
• Data Preprocessing
• Research
• Project Management