Research Intern – Reinforcement Learning (RL)

🚀 Build the next generation of Agentic AI with us

Our platform combines conversation intelligence, multimodal understanding, and agentic AI systems to power both human agents and autonomous AI agents across the entire customer experience lifecycle.

A core part of this vision is our investment in custom Small Language Models (SLMs)—purpose-built for CX workflows—paired with reinforcement learning systems that continuously improve decision-making in real-world environments.

We’re looking for a Research Intern (Reinforcement Learning) to join us in shaping this future.

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• Experience with RLHF, LLM/SLM fine-tuning, or model alignment

• Exposure to agent-based systems or multi-agent RL

• Prior research, projects, or publications in RL or applied ML

• Experience working with large-scale or production datasets

• Work on production-grade Agentic AI systems used by leading enterprises

• Build alongside a team with deep expertise from Amazon, Google, and Meta

• Be part of a fast-growing Series C AI company.

• Direct exposure to 0→1 AI innovation in CX and decisioning systems