ML Engineering Intern

This role is for one of the Weekday's clients

We are seeking ML Engineering Interns who are passionate about large language models (LLMs), reinforcement learning (RL), and the supporting infrastructure behind advanced agent systems. This role blends hands-on research with engineering work, including building environments, integrating tools, and managing data workflows. Interns will work on fast-paced, startup-style projects where adaptability and broad technical skills are highly valued.

Requirements:
Key Responsibilities:

• Build and maintain GitHub-based project infrastructure, including CI/CD workflows.
• Set up and manage environments using Docker and other containerized services.
• Develop and integrate coding tool environments for agents to interact with via CLI and APIs.
• 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 project requirements.
• Document infrastructure, pipelines, and experimental results in a clear, reproducible manner.

Ideal Qualifications:

• Background in machine learning, reinforcement learning, or related coursework.
• 1–2 LLM or RL-related projects (e.g., GitHub portfolio).
• Proficiency with Docker, CLI tooling, and GitHub project management.
• Experience with integrations and data pipelines/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.

Opportunity Details:

• Commitment: ~35 hours/week.
• Fully remote and flexible, with optional monthly visits to the office as a perk.
• Project-based, with potential for extension based on research needs.
• Focus on enabling agents to interact with coding tools and real-world environments.

Compensation & Contract Terms:

• Competitive hourly rate ($35–$70, depending on experience).
• Weekly payments via Stripe Connect.
• Engagement as an independent contractor.