Remote AI Research Engineer: Agentic RL

Jobgether; United States; A distancia; USD 140.000 - 230.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully Remote

International Collaboration

Cutting‑Edge AI

Research & Innovation

Publish Opportunities

Professional Growth

Global Tech Environment

Descripción de la vacante

Partner Company is seeking an AI Research Engineer (Agentic Reinforcement Learning) based in the United States. You will lead research in agentic RL, advancing multimodal AI systems, including diffusion‑based and autoregressive architectures for image and multimodal understanding.

You will build scalable training infrastructure, refine reward mechanisms, and push state‑of‑the‑art performance across diverse data modalities.

Formación

• Master's degree in Computer Science or a related discipline is required.
• PhD in ML, NLP, CV, or related field preferred.
• Strong track record of AI research with publications in top conferences.

Responsabilidades

• Research and develop reinforcement learning algorithms for multimodal models.
• Design scalable RL infrastructure for distributed training.
• Develop and optimize reward modeling strategies for training stability.
• Create and maintain multimodal simulation environments and training datasets.
• Publish and present findings at leading AI/ML conferences.

Conocimientos

AI research

Reinforcement learning

Multimodal learning

Publications

Educación

Master's in CS

PhD preferred

Herramientas

PyTorch

Descripción del empleo

Partner Company is seeking an AI Research Engineer (Agentic Reinforcement Learning) based in the United States. You will lead research in agentic RL, advancing multimodal AI systems, including diffusion‑based and autoregressive architectures for image and multimodal understanding.

You will build scalable training infrastructure, refine reward mechanisms, and push state‑of‑the‑art performance across diverse data modalities.