人工智能研究工程师 (多模态与视觉)
AI Research Engineer (Multi-Modal & Vision)
加入Tether，塑造数字金融的未来
在Tether，我们不仅仅是构建产品，更是在引领一场全球金融革命。我们前沿的解决方案赋能企业——从交易所、钱包到支付处理器和ATM机——无缝集成跨区块链的储备支持代币。通过利用区块链技术的力量，Tether使您能够以极低的成本，即时、安全、全球地存储、发送和接收数字代币。透明度是我们一切工作的基石，确保每笔交易都值得信赖。
与Tether一起创新
Tether Finance：我们的创新产品套件包括全球最值得信赖的稳定币USDT，被数亿人依赖，同时还提供开创性的数字资产代币化服务。
但这只是开始：
Tether Power：推动可持续增长，我们的能源解决方案使用环保方法，将多余电力用于比特币挖矿，位于现代化、地理分布广泛的设施中。
Tether Data：推动人工智能和点对点技术的突破，我们通过KEET等前沿解决方案降低基础设施成本，提升全球通信能力，重新定义安全且私密的数据共享。
Tether Education：普及顶级数字学习资源，赋能个人在数字和零工经济中蓬勃发展，推动全球增长和机遇。
Tether Evolution：在技术和人类潜力的交汇点，我们正在突破可能的边界，打造一个创新与人类能力融合的未来。
为什么加入我们？
我们的团队是全球人才的强大力量，来自世界各地的远程办公。如果您热衷于在金融科技领域留下印记，这就是您与最聪明的头脑合作、突破界限并制定新标准的机会。我们发展迅速，保持精简，并确立了行业领导地位。
如果您具备出色的英语沟通能力，并准备好为地球上最具创新性的平台做出贡献，Tether就是您的选择。
您是否已准备好成为未来的一部分？
职位简介
作为AI模型团队的一员，您将推动视觉-语言模型的训练和优化方面的创新，重点关注实际部署。您的工作将涵盖整个模型开发生命周期——从数据整理和训练流程设计，到模型评估和
查看英文原文
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 training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale.
You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly.
You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity.
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.
Requirements
- 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.)
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
- Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page:
- Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
- Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
- Double-check email addresses. All communication from us will come from emails ending in @ or @
- We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Highlights
Originally posted on Himalayas