Remote ML Engineer Intern: LLMs, RL & Infra

Feedinkoo; United States; Remote; USD 48,216 - 96,432; Part time

Job summary

Feedinkoo is seeking a Machine Learning Contractor to engage in research and engineering tasks on LLMs, reinforcement learning, and infrastructure for advanced agent systems. This position is remote, with flexible engagement and potential monthly office visits to Mercor SF. Competitive hourly compensation ranging from $35 to $70 is available, and the role allows for independent freelancing.

The ideal candidate should have a background in machine learning, proficiency in key technologies like Docker and GitHub, and experience managing project infrastructures. Asynchronous collaboration with research teams is expected.

Qualifications

• At least 1–2 LLM or RL-related projects shared on GitHub.
• Experience building integrations and working with data pipelines/analytics.
• Comfortable with engineering-heavy and research-oriented tasks.

Responsibilities

• Build and maintain GitHub-based project infrastructure including CI/CD workflows.
• Set up and manage environments with Docker and containerized services.
• Contribute to reinforcement learning and LLM research experiments.

Skills

Python

TensorFlow

PyTorch

Reinforcement Learning

Large Language Models

Data Engineering

Infrastructure Management

Research Skills

Problem Solving

Collaboration

Education

Background in machine learning or reinforcement learning

Tools

Docker

CLI tooling

GitHub project management

Job description

Feedinkoo is seeking a Machine Learning Contractor to engage in research and engineering tasks on LLMs, reinforcement learning, and infrastructure for advanced agent systems. This position is remote, with flexible engagement and potential monthly office visits to Mercor SF. Competitive hourly compensation ranging from $35 to $70 is available, and the role allows for independent freelancing.

The ideal candidate should have a background in machine learning, proficiency in key technologies like Docker and GitHub, and experience managing project infrastructures. Asynchronous collaboration with research teams is expected.