Remote AI Research Engineer - Multimodal RL

Tether.io; Town of Italy (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Tether.io is seeking an innovative member for our AI model team to drive advancements in reinforcement learning and multimodal systems. This role focuses on optimizing decision-making and developing reinforcement learning techniques for real-world challenges.

The ideal candidate will have a strong educational background in Computer Science, experience in AI research, and proficiency in PyTorch.

Join us to be part of a global financial revolution and help shape the future of digital finance.

Qualifications

• Master's degree required; PhD preferred with strong AI research track.
• Deep understanding of reinforcement learning algorithms.
• Strong proficiency in PyTorch and deep learning frameworks.

Responsibilities

• Conduct research on reinforcement learning algorithms for multimodal models.
• Design and build reinforcement learning infrastructure for scalable training.
• Develop reward modeling strategies to improve training stability.

Skills

Reinforcement learning

Multimodal learning

Python

PyTorch

AI research

Education

Master's degree in Computer Science

PhD in Machine Learning or related fields

Tools

Deep learning frameworks

Simulation environments

Job description

Tether.io is seeking an innovative member for our AI model team to drive advancements in reinforcement learning and multimodal systems. This role focuses on optimizing decision-making and developing reinforcement learning techniques for real-world challenges.

The ideal candidate will have a strong educational background in Computer Science, experience in AI research, and proficiency in PyTorch.

Join us to be part of a global financial revolution and help shape the future of digital finance.