ML Engineering Intern at Crossing Hurdles

Feedinkoo; United States; Remote; USD 48,000 - 96,000; Part time

Job summary

Feedinkoo is seeking an ML Engineering Intern as a contractor, offering a remote, hourly position with a flexible schedule and about 35 hours per week. The role focuses on building CI/CD pipelines, containerized environments, and tooling to support agents interacting via CLI and APIs.

You will contribute to RL and LLM experiments while handling data collection and analysis. The ideal candidate balances engineering work with research and has hands-on experience with Docker, GitHub projects, and

Qualifications

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

Responsibilities

• Build and maintain CI/CD workflows for ML projects.
• Set up and manage containerized environments using Docker.
• Develop tooling to enable agents to interact via CLI and APIs.
• Support RL and LLM research experiments and prototypes.
• Handle data collection, preprocessing, and analysis.
• Collaborate asynchronously with research teams and adapt to changes.
• Document workflows and experimental results clearly and reproducibly.

Skills

Machine Learning

Reinforcement Learning

LLM Projects

Docker

CLI tooling

GitHub

Data Pipelines

Research Experience

Startup Environment

Team Collaboration

Education

ML coursework

Tools

Docker

CLI Tools

GitHub

CI/CD Pipelines

Data Pipelines

Job description

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

1. Upload resume
2. AI interview based on your resume (15 min)
3. Submit form