Machine Learning Intern - Fully Remote
MercorGermany23 hours ago
ContractRemote FriendlyEngineering, Research +1
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Company Introduction
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Role Overview
Must-Have Qualifications
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Role Overview
- Position: Machine Learning Contractor (LLMs, RL, and Infrastructure) – Contract, Remote
- Commitment: ~35 hours/week
- Engage in research and engineering tasks focused on LLMs, RL, and infrastructure for advanced agent systems.
- Build and maintain GitHub-based project infrastructure, including CI/CD workflows.
- Set up and manage environments with Docker and containerized services.
- Develop and integrate coding tool environments for agents using CLI and APIs.
- Contribute to reinforcement learning 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 clearly and reproducibly.
Must-Have Qualifications
- Background in machine learning, reinforcement learning, or related coursework.
- At least 1–2 LLM or RL-related projects (e.g., shared on GitHub).
- Proficiency with Docker, CLI tooling, and GitHub project management.
- Experience building integrations and working with 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 strong plus.
- Remote and flexible, with optional monthly visits to the Mercor SF office.
- Project-based, with potential for extensions based on research needs.
- Competitive hourly compensation ($35-$70 range), payments issued weekly via Stripe Connect.
- Contractors classified as independent freelancers.
- Submit your resume and links to relevant project work (e.g., GitHub repositories, Docker setups).
- Follow-up steps may include a technical assessment or project-based evaluation.
- Typical response time: within a few days of application.
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: [email protected]
Key Skills
Ranked by relevanceReady to apply?
Join Mercor and take your career to the next level!
Application takes less than 5 minutes