Research Intern - Self-Improving Agentic Systems and AI Research Agents

We are seeking a highly motivated intern (Contract Worker) to join our research team working on self-improving agentic systems — a cutting-edge area at the intersection of reinforcement learning, LLM post-training, and autonomous AI research agents. We develop agentic systems that improve their own performance over time, combining reinforcement learning and LLM post-training with agents capable of writing, evaluating, and optimizing code. A central goal is building AI research agents that can autonomously propose, run, and analyze experiments, accelerating the pace of AI research itself. Research Intern - Self-Improving Agentic Systems and AI Research Agents Responsibilities: * Assist in the design, implementation, and evaluation of self-improving agentic systems and AI research agents. * Contribute to research on reinforcement learning and LLM post-training methods, including reward design, preference optimization, and RL from execution feedback. * Collaborate with senior researchers to explore new approaches for autonomous experimentation, code generation, and optimization. * Help build and maintain evaluation harnesses and benchmarks for agentic capabilities. * Help document findings and prepare research outputs for publication. Minimum Qualifications: * Experience with Python, C++, C, Java or other related language * Experience with deep learning frameworks such as Pytorch or Tensorflow * Experience building systems based on machine learning and/or deep learning methods Preferred Qualifications: * Eagerness to learn about advanced AI concepts such as reinforcement learning, LLM post-training, agentic scaffolding, and self-improvement * Excellent problem-solving and communication skills About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.