Research Intern – Reinforcement Learning (RL)
levelai· Engineering
About this role
🚀 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.
What you’ll do
Design and build reinforcement learning environments that model real-world customer interaction workflows.
Design RL agents that learn from these environments using real-world interaction data, rewards, and feedback loops
Define reward models and feedback loops using real-world signals (outcomes and human feedback)
Enable learning from production data by structuring interaction traces into training-ready datasets for offline and online learning
Experiment with multi-agent systems and simulation frameworks for complex coordination and decision-making
Collaborate with engineering and product teams to deploy, evaluate, and iterate on learning systems in production at scale.
What we’re looking for
Currently pursuing (or recently completed) a degree in Computer Science, AI, Machine Learning, or related field
Strong understanding of reinforcement learning fundamentals
Familiarity with RL environments and training libraries such as Verl and Tinker
Strong foundation in probability, math, and optimization
Passion for building real-world AI systems
Nice to have
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
Why Level AI
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
Frequently Asked Questions
Is the salary disclosed for the Research Intern – Reinforcement Learning (RL) position at levelai?
The salary for this Research Intern – Reinforcement Learning (RL) role at levelai is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Research Intern – Reinforcement Learning (RL) position at levelai located?
This Research Intern – Reinforcement Learning (RL) role at levelai is based in Noida. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Research Intern – Reinforcement Learning (RL) at levelai belong to?
This Research Intern – Reinforcement Learning (RL) position is part of the Engineering department at levelai. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Research Intern – Reinforcement Learning (RL) position at levelai?
Click the "Apply Now" button on this page. You will be redirected to levelai's official application portal hosted on lever where you can submit your application directly.
When was the Research Intern – Reinforcement Learning (RL) job at levelai posted?
This Research Intern – Reinforcement Learning (RL) position at levelai was posted on Mar 31, 2026. Apply as soon as possible — early applications are often reviewed first.
Research Intern – Reinforcement Learning (RL)
levelai
You'll be redirected to levelai's official application page on Lever.