Senior Research Engineer - Multimodal & Video Foundation Model

Tether Operations Limited

As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

You will have a deep expertise in video generation model architectures with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of model performance.

Responsibilities

• Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems.

• Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.

• Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.

• Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.

• Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).

• Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.

• Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.

• Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.