Research Intern (AI/ML)

The internship focuses on reinforcement learning, RL agents, reward modeling, and real-world AI systems. Interns will build learning environments, train agents using production data, and work on multi-agent simulations. Strong fundamentals in reinforcement learning, probability, mathematics, and optimization are required. Experience with RLHF, model alignment, fine-tuning, or large-scale datasets is considered a plus. Candidates will collaborate with engineering and product teams to deploy learning systems at scale.