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    AI Research Engineer (Multi-Modal & Vision)

    Tether

    Global RemoteNew
    AI Engineering
    Research

    About the role

    Tether, the company behind USDT, is hiring an AI Research Engineer to work on multi-modal vision-language models within its AI model team.

    You'll run the full model lifecycle: data curation, post-training (supervised fine-tuning, distillation, RLHF), evaluation and optimisation for real-world deployment, including compression for resource-constrained environments. It is a research-driven role with strong engineering discipline, working on distributed GPU infrastructure in a small, high-caliber team.

    Highlights

    • Frontier multi-modal / vision-language research with production goals
    • Post-training, distillation, RLHF, distributed training, model compression
    • Fully remote worldwide, publish at top venues (NeurIPS, ICML, CVPR)
    • MS/PhD preferred, open-source multimodal contributions a strong plus

    This recap is dataskew's editorial summary, not the company's copy.