AI Research Engineer (MultiModal & Vision) 100% Remote Worldwide
Join Tether and Shape the Future of Digital Finance
At Tether, we're not just building products, we're pioneering a general 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.
We're looking for an AI Research Engineer (Vision‐Language) to drive innovation across the full model development lifecycle—from data curation and training pipeline design to model evaluation and optimization.
You will work closely with a small, high‐caliber team to build scalable, efficient multimodal models and advance state‐of‐the‐art performance.
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 to accelerate development.
Stay current with the latest research in multimodal learning and vision‐language systems, translating relevant findings into practical improvements.
Publish research findings in top‐tier AI conferences and journals where applicable.
Qualifications
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 HuggingFace.
Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.).
We welcome applications from all backgrounds and are committed to inclusivity and equal opportunity.
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