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

Stack

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
• ▹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
• ▹Stay current with the latest research in multimodal learning and vision-language systems, translating findings into practical improvements
• ▹Publish research findings in top-tier AI conferences and journals where applicable

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
• ▹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 Hugging Face
• ▹Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.)

Soft skills

What we offer

• ▹100% remote, worldwide

About the company

Tether works in digital finance: it offers USDT, one of the world's most trusted stablecoins, along with asset tokenization services, energy solutions, AI and peer-to-peer technology (Tether Data, the KEET app) and education. The team works remotely from around the world.