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ML Engineering Intern

ML Engineering Intern

Weekday AIUS
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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.
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    Engineering Intern • US