Machine Learning Intern
@ Crossing Hurdles

Hybrid
$127,400
Hybrid
Contractor
Posted 7 hours ago

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XXXXXXXXXX XXXXXXXXX XXXXXXXXX******* @crossinghurdles.com
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Job Details

About Machine Learning Intern at Crossing Hurdles

Crossing Hurdles is a recruitment firm referring top candidates to partners working with the world’s leading AI research labs. This role is for an ML Engineering Intern on an hourly contract to help build and train cutting-edge AI models.

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 and LLM research experiments and prototype development
  • Handle data collection, preprocessing, and analysis for ML projects
  • Collaborate asynchronously with research teams
  • Document workflows, experimental results, and infrastructure reproducibly

Ideal Qualifications

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

Application Process

Candidates are invited to upload their resume, complete an AI interview based on their resume (15 min), and submit a form.

Key skills/competency

  • Machine Learning
  • Reinforcement Learning
  • LLM
  • Docker
  • CI/CD
  • GitHub
  • CLI
  • Data Pipelines
  • Containerization
  • Research
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How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Customize your resume: Tailor it to highlight ML and Docker skills.
  • Showcase project work: Include your GitHub contributions.
  • Practice technical interviews: Focus on CI/CD tools and ML experiments.
  • Research Crossing Hurdles: Understand their role in AI research collaborations.

📝 Interview Preparation Advice

Technical Preparation

Review Docker container setup.
Practice GitHub CI/CD configurations.
Study reinforcement learning fundamentals.
Experiment with CLI tool integrations.

Behavioral Questions

Describe teamwork in remote settings.
Explain handling project changes.
Show adaptability under ambiguity.
Discuss effective asynchronous communication.

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