Remote AI Research Engineer: Agentic RL in Multimodal

Tether Operations Limited; United States; Remoto; USD 140.000 - 220.000; Tempo pieno

Descrizione del lavoro

Tether Operations Limited seeks a researcher to drive exploration in reinforcement learning for multimodal systems and scalable architectures. The role focuses on developing and testing RL methods for diffusion and autoregressive models, while building infrastructure for efficient large-scale training.

The candidate should have a strong research background, experience with PyTorch, and a track record of running complex RL experiments across modalities.

Competenze

• Master's degree in CS or related field; PhD preferred with strong research track record.
• Experience running large-scale RL experiments in multimodal and vision-centric systems.
• Proficiency in PyTorch and deep learning frameworks, with end-to-end RL pipeline experience.

Mansioni

• Conduct research on RL algorithms for multimodal models and unified frameworks.
• Design robust benchmarking and evaluation protocols for multimodal tasks.
• Analyze and optimize policy performance across modalities, mitigating reward hacking.

Conoscenze

RL research

Multimodal ML

Experimentation

Formazione

Master's degree in CS

PhD preferred

Strumenti

PyTorch

Descrizione del lavoro

Tether Operations Limited seeks a researcher to drive exploration in reinforcement learning for multimodal systems and scalable architectures. The role focuses on developing and testing RL methods for diffusion and autoregressive models, while building infrastructure for efficient large-scale training.

The candidate should have a strong research background, experience with PyTorch, and a track record of running complex RL experiments across modalities.