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ML Engineering Intern at Weekday AI. 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.. 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.. Company Location: United States.