Job Description
Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs to help build and train cutting-edge AI models.
Position: ML Engineering Intern – Contractor
Type: Hourly Contract
Compensation: $35–$70/hour
Location: Remote
Duration: Project-based, with potential extensions based on research needs
Commitment: Approximately 35 hours/week, flexible scheduling
Role Responsibilities
Build and maintain GitHub-based project infrastructure including continuous integration and delivery (CI/CD) workflows
Set up and manage containerized environments using Docker and related tools
Develop and integrate coding tool environments that enable agents to interact via command line interfaces (CLI) and APIs
Support reinforcement learning (RL) and large language model (LLM) research experiments and prototype development
Handle data collection, preprocessing, and analysis supporting ML projects
Collaborate asynchronously with research teams adapting to changing project requirements
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-related projects or contributions (e.g., GitHub repositories)
Proficiency with Docker, CLI tooling, and GitHub project/project management
Experience building integrations and managing data pipelines and analytics
Comfortable balancing engineering-heavy tasks with research activities
Ability to thrive in fast-paced, ambiguous startup-like environments
Prior research lab or team project experience is a plus
Application Process
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