Remote RL Research Intern — Agentic AI & LLMs

Centific Global Solutions, Inc.; United States; On-site; USD 48,216 - 61,992; Full time

Benefits offered by this job

Competitive stipend

Mentorship from researchers

Access to modern GPU infrastructure

Job summary

Centific Global Solutions, Inc. is seeking a PhD Research Intern in Applied Reinforcement Learning to design and evaluate RL systems for agentic AI workflows. The role involves developing RL environments, reward models, and post-training pipelines for LLM-based agents.

The ideal candidate will have a PhD in computer science, machine learning, or a related field, strong Python and PyTorch skills, and a solid understanding of RL fundamentals. This position offers a competitive stipend and mentorship opportunities.

Qualifications

• PhD candidate with research in reinforcement learning or agentic AI.
• Strong skills in Python and PyTorch, with GPU training experience.
• Understanding of reinforcement learning fundamentals.

Responsibilities

• Design and evaluate reinforcement learning systems for agentic AI workflows.
• Develop and evaluate RL environments for enterprise workflows.
• Prototype an agentic system integrated with RL training.

Skills

Python

PyTorch

Reinforcement Learning Fundamentals

GPU-based Training

Experimentation Practices

Education

PhD candidate in CS, ML, or related field

Tools

Gymnasium

RLlib

Stable Baselines

Job description

Centific Global Solutions, Inc. is seeking a PhD Research Intern in Applied Reinforcement Learning to design and evaluate RL systems for agentic AI workflows. The role involves developing RL environments, reward models, and post-training pipelines for LLM-based agents.

The ideal candidate will have a PhD in computer science, machine learning, or a related field, strong Python and PyTorch skills, and a solid understanding of RL fundamentals. This position offers a competitive stipend and mentorship opportunities.