AI Research Engineer (Agentic Reinforcement Learning) - 100% Remote Worldwide

About the role

As a member of the AI model team, you will drive innovation in multi-modal reinforcement learning to advance next-generation intelligent systems. Your work will focus on optimizing decision-making and adaptive behavior across integrated data modalities such as text, images and audio to deliver enhanced intelligence, robust performance, and domain-specific capabilities for real-world challenges.

What you'll do

• Conduct research on reinforcement learning algorithms for multimodal models
• Design and build reinforcement learning infrastructure that supports scalable, distributed training across multimodal systems while maintaining efficiency and reliability
• Develop and refine reward modeling strategies that improve training stability, align model behavior with desired outcomes
• Create and curate multimodal simulation environments and datasets to support robust training, evaluation, and benchmarking of reinforcement learning systems
• Design and conduct rigorous benchmarking and evaluation protocols to measure model performance, track progress against baselines

What you need

• Research
• Deep learning
• PyTorch
• Lean
• M.Sc or PhD or B.Tech or B.E. or B.Sc or BCA or M.Tech

Good to have

• Machine learning
• NLP
• Computer vision