Senior Research Innovator

3 days ago

Karachi, Sindh, Pakistan beBeeResearch Full time $80,000 - $140,000

Tether Operations Limited is pioneering a global financial revolution with cutting-edge solutions that empower businesses to integrate reserve-backed tokens across blockchains. Our innovative product suite features the world's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide.

About Tether Finance

We craft a future where innovation and human capabilities merge in powerful, unprecedented ways.

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.

Main 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.

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience

Expertise in Python & Pytorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.

Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.

Direct hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models.

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