AI Research Engineer (Multi-Modal & Vision)

Tether Operations Limited is at the forefront of the digital finance revolution, pioneering global solutions that integrate reserve-backed tokens across blockchains. We are seeking an AI Research Engineer to join our high-caliber team and drive innovation in the development and optimization of vision-language models for real-world deployment.

Key responsibilities

• Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle.
• Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.
• Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks.
• Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques.
• Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success.

Requirements

• Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred.
• Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback.
• Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks.
• Proven open-source contributions in multimodal AI on GitHub or HuggingFace.
• Publications at top AI conferences such as NeurIPS, ICML, ICLR, CVPR, or ECCV.

What we offer

• The opportunity to work within a global talent powerhouse on cutting-edge fintech and AI solutions.
• A fully remote work environment that fosters collaboration with some of the brightest minds in the industry.
• Direct impact on the development of innovative, large-scale production AI systems.