AI Research Engineer (Multi-Modal & Vision) - 100% Remote Worldwide

As an AI Research Engineer for Multi-Modal & Vision at Tether, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. You will work across the full model development lifecycle, from data curation and training pipeline design to model evaluation and optimization, building models that are both highly capable and practical to deploy at scale.

What you'll do

• 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
• Build and scale training workflows across distributed GPU infrastructure
• Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks
• Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development
• Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements
• Publish research findings in top-tier AI conferences and journals where applicable

What you bring

• A 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
• Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks
• Experience adapting models for resource-constrained environments
• Proven open-source contributions in multimodal AI on GitHub or HuggingFace
• Publications at top AI conferences such as NeurIPS, ICML, ICLR, CVPR, or ECCV

About Tether

Tether operates a global financial ecosystem built on blockchain technology, anchored by USDT, the world's most trusted stablecoin used by hundreds of millions worldwide. The company also operates Tether Power (sustainable energy solutions for Bitcoin mining), Tether Data (AI and peer-to-peer technology infrastructure, including the KEET app), Tether Education (digital learning access), and Tether Evolution (emerging technology innovation).