AI Research Engineer – Multi-Modal Reinforcement Learning (Remote)

About the role

Join Tether’s AI model team to drive cutting‑edge research in multi‑modal reinforcement learning. You will create intelligent systems that integrate text, image and audio data, delivering robust decision‑making capabilities for real‑world fintech challenges.

Key responsibilities

• Design, implement and scale reinforcement learning algorithms for multi‑modal architectures.
• Develop diffusion‑based generative models and autoregressive models for cross‑modal understanding.
• Optimize models for resource‑constrained hardware environments.
• Collaborate with product and engineering teams to translate research into production‑ready solutions.
• Publish findings and contribute to the scientific community.

Required profile

• Strong academic or professional background in AI research, especially reinforcement learning.
• Experience working with multi‑modal data (text, images, audio).
• Proven ability to innovate and solve complex technical problems.
• Excellent English communication skills.

Required skills

• Reinforcement learning
• Multi‑modal model development (text, image, audio)
• Diffusion‑based generative models
• Autoregressive models
• Model optimization for constrained hardware

What we offer

• 100% remote work with a global, fully distributed team.
• Opportunity to shape AI innovations in the fintech sector.
• Collaborative environment with leading experts in AI and blockchain.