AI Research Engineer - Reinforcement Learning - Remote

Overview

Join Tether and shape the future of digital finance by driving innovation in reinforcement learning approaches for advanced models.

In Short

• Develop and implement state-of-the-art reinforcement learning algorithms.
• Build, run, and monitor controlled reinforcement learning experiments.
• Identify and curate high-quality simulation environments and training datasets.
• Systematically debug and optimize the reinforcement learning pipeline.
• Collaborate with cross-functional teams to integrate reinforcement learning agents.
• PhD in NLP, Machine Learning, or related field preferred.
• Experience with large-scale reinforcement learning experiments.
• Deep understanding of reinforcement learning algorithms.
• Strong expertise in PyTorch and relevant frameworks.
• Ability to apply empirical research to overcome reinforcement learning challenges.

Requirements

• Degree in Computer Science or related field.
• Proven experience with reinforcement learning experiments.
• Deep understanding of reinforcement learning algorithms.
• Strong expertise in PyTorch.
• Proficient in designing robust evaluation frameworks.

Benefits

• Work remotely from anywhere in the world.
• Collaborate with a global talent powerhouse.
• Opportunity to innovate in the fintech space.
• Be part of a leader in the industry.
• Contribute to a global financial revolution.