ML Engineering Intern

@ Crossing Hurdles

About ML Engineering Intern

Crossing Hurdles is a recruitment firm referring top candidates to partners working with world-leading AI research labs. The ML Engineering Intern role is a contractor position (hourly) that supports cutting-edge AI research efforts.

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 for CLI and API interactions.
• Support reinforcement learning (RL) and large language model (LLM) research experiments and prototypes.
• Handle data collection, preprocessing, and analysis for ML projects.
• Collaborate asynchronously with research teams and document workflows and experimental outcomes.

Ideal Qualifications

• Background in machine learning, reinforcement learning, or relevant coursework.
• Experience with LLM or RL projects, contributions on GitHub.
• Proficiency with Docker, CLI tooling, and GitHub project management.
• Experience in building integrations and managing data pipelines.
• Ability to balance engineering tasks with research activities.
• Experience in research lab projects is a plus.

Application Process

Candidates should upload their resume, participate in an AI interview (15 minutes), and submit a form.

Key skills/competency

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