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Senior Research Engineer - Multimodal & Video Foundation Model

Roles & Responsibilities

  • Deep expertise in video generation model architectures with a hands-on, research-driven approach
  • Experience designing and evaluating multimodal AI systems (text, visual, and audio) at scale
  • Proven ability to engineer scalable training and inference pipelines for large-scale multimodal datasets and distributed GPU systems
  • Excellent English communication skills and ability to collaborate across cross-functional teams

Requirements:

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

Job description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

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.

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