ML Engineering Intern | Upto $70/hr Remote

Summary: The ML Engineering Intern position at Crossing Hurdles involves supporting AI research by building and maintaining project infrastructure, managing containerized environments, and assisting with machine learning experiments. This role is project-based and offers flexible hours, allowing for a commitment of 10-40 hours per week. The intern will collaborate with research teams and document workflows while adapting to evolving project requirements. Ideal candidates should have a background in machine learning and experience with relevant tools and projects.

Key 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

Key Skills:

• 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

Salary (Rate): £70.00/hr

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT