Machine Learning Engineer Intern

@ HelixRecruit

Overview

The Machine Learning Engineer Intern at HelixRecruit will work with frontier AI labs on research and engineering tasks related to large language models, reinforcement learning, and the supporting infrastructure for advanced agent systems.

Key Responsibilities

• Build and maintain GitHub-based project infrastructure and CI/CD workflows.
• Set up and manage Docker environments and containerized services.
• Develop and integrate CLI and API coding tool environments for agents.
• Contribute to RL and LLM research experiments and prototypes.
• Handle data collection, preprocessing, and analytics for ML projects.
• Collaborate asynchronously with researchers and adapt to evolving requirements.
• Document infrastructure, pipelines, and experimental results clearly.

Ideal Qualifications

• Background in machine learning, reinforcement learning, or related coursework.
• At least 1–2 LLM or RL-related projects shared on GitHub.
• Proficiency with Docker, CLI tooling, and GitHub project management.
• Experience with data pipelines and analytics.
• Comfortable with both engineering-heavy and research-oriented tasks.
• Ability to navigate ambiguous requirements in fast-moving environments.
• Prior team or research lab experience is a plus.

More About the Opportunity

This internship is project-based with an expected commitment of approximately 35 hours per week. The role is remote and flexible, with optional monthly visits to the partner's office. Compensation is competitive hourly (ranging from $35 to $70) with weekly payments. Applications must include a resume and links to relevant project work such as GitHub repositories and Docker setups. Follow-up steps may include a technical assessment or project-based evaluation.

Key skills/competency

Machine Learning, Reinforcement Learning, LLM, Docker, GitHub, CI/CD, CLI, Data Analytics, Research, Engineering