Qureos Mentor

Tether Operations Limited

Job description <div> <div> 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 our AI model team, you will drive innovation across the entire AI lifecycle by developing and implementing rigorous evaluation frameworks and benchmark methodologies for pre-training, post-training, and inference. Your work will focus on designing metrics and assessment strategies that ensure our models are highly responsive, efficient, and reliable across real-world applications. You will work on a wide spectrum of systems, from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate text, images, and audio. We expect you to have deep expertise in advanced model architectures, pre-training and post-training practices, and inference evaluation frameworks. Adopting a hands-on, research-driven approach, you will develop, test, and implement novel evaluation strategies that rigorously track key performance indicators such as accuracy, latency, throughput, and memory footprint. Your evaluations will not only benchmark model performance at each stage, from the foundational pre-training phase to targeted post-training refinements and final inference but will also provide actionable insights. A key element of this role is collaborating with cross-functional teams including product management, engineering, and operations to share your evaluation findings and integrate stakeholder feedback. You will engineer robust evaluation pipelines and performance dashboards that serve as a common reference point for all stakeholders, ensuring that the insights drive continuous improvement in model deployment strategies. The ultimate goal is to set industry-leading standards for AI model quality and reliability, delivering scalable performance and tangible value in dynamic, real-world scenarios. Responsibilities: <ul> <li> Develop, test, and deploy integrated frameworks that rigorously assess models during pre-training, post-training, and inference. Define and track key performance indicators such as accuracy, loss metrics, latency, throughput, and memory footprint across diverse deployment scenarios. </li> <li> Curate high-quality evaluation datasets and design standardized benchmarks to reliably measure model quality and robustness. Ensure that these benchmarks accurately reflect improvements achieved through both pre-training and post-training processes, and drive consistency in evaluation practices. </li> <li> Engage with product management, engineering, data science, and operations teams to align evaluation metrics with business objectives. Present evaluation findings, actionable insights, and recommendations through comprehensive dashboards and reports that support decision-making across functions. </li> <li> Systematically analyze evaluation data to identify and resolve bottlenecks across the model lifecycle. Propose and implement optimizations that enhance model performance, scalability, and resource utilization on resource-constrained platforms, ensuring efficient pre-training, post-training, and inference. </li> <li> Conduct iterative experiments and empirical research to refine evaluation methodologies, staying abreast of emerging techniques and trends. Leverage insights to continuously enhance benchmarking practices and improve overall model reliability, ensuring that all stages of the model lifecycle deliver measurable value in real-world applications. </li> </ul> </div> </div> Job requirements <div> <div> <ul> <li> A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D (with good publications in A* conferences). </li> <li> </li><li> </li> </ul> </div> </div> <div> <div></div></div>

AI Research Engineer

<div><div> 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 <ul> <li> Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems. </li> <li> Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities. </li> <li> Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs. </li> <li> Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput. </li> <li> Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text). </li> <li> Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions. </li> <li> Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products. </li> <li> Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks. </li> </ul> </div> </div> Job requirements <div> <div> <ul> <li> Bachelor s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience </li> <li> Expertise in Python &amp; Pytorch, including practical experience working with the full development pipeline from data processing &amp; data loading to training, inference, and optimization. </li> <li> Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text. </li> <li> 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 . </li> </ul> Nice to have skills: <ul> <li> PhD in Computer Vision, Machine Learning, NLP, Computer Science, Applied Statistics, or a closely related field </li> <li> Demonstrated expertise in computer vision, video generation foundation model and/or multimodal research. </li> <li> First-author publications at leading AI conferences such as CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS etc. </li> </ul> Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: <ul> <li> </li></ul> </div> </div> <div> <div></div></div>

Senior Research Engineer

<div><div>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 We're seeking experienced AI infrastructure Engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether s applied research team, where you ll contribute to high-impact projects that run across thousands of GPUs and drive cutting-edge video generation foundation development. Responsibilities <ul> <li> Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200). </li> <li> Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data. </li> <li> Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio. </li> <li> Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics. </li> <li> Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages. </li> <li> Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations. </li> <li> Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms. </li> <li> Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference. </li> </ul> </div> </div> Job requirements <div> <div> <ul> <li> Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains. </li> <li> Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs. </li> <li> Proven ability to architect and maintain large-scale distributed systems for data processing and delivery. </li> <li> Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads. </li> </ul> Preferred Qualifications <ul> <li> Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines. </li> <li> Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.</li></ul> </div> </div> <div> <div></div></div>

Senior AI Engineer

<div> <div> We are seeking a highly skilled Technical Architect who brings real-world architecture experience and excels in working collaboratively with engineers, designers and stakeholders. The role involves deeply understanding our tech stack (for apps, SDKs, SaaS platforms, etc.) and applying that knowledge to design scalable systems that adhere to our design principles. Responsibilities <ul> <li>Design robust and scalable architectures for all sorts of systems (apps, SDKs, SaaS platforms, etc.) that are tailor-made for our specific tech stack. Use systems-level thinking to structure components for reliability, scalability and maintainability.</li> <li>Work closely with developers, product managers, designers, and other stakeholders to translate requirements into clear, practical architectures.</li> <li>Contribute to guiding development through code reviews, building PoCs and skeleton structures.</li> <li>Write and review technical proposals to ensure they align with the agreed architecture.</li> <li>Keep up to date with new tools, frameworks and ideas, and spot and suggest opportunities to improve our systems.</li> </ul> </div> </div>

Technical Architect

We are looking for a hands-on proactive, experienced and passionate writer to lead the technical documentation efforts across all Tether products. In this role, you will be responsible for the documentation for our open source projects and our platform products which includes public npm modules and robust, modular codebase.
Responsibilities
<ul>
 <li>Proactively update the documentation to match the rapid development pace of the development team.</li>
 <li>Writing and improving documentation, guides, FAQs, etc.</li>
 <li>Developing high quality proof of concept application and example snippets.</li>
 <li>Staying aware of questions and issues faced by the community and improving the documentation to support them better.</li>
</ul>

Technical Documentation Lead

We are looking for an experienced AI Model Engineer with deep expertise in kernel development, model optimization, fine-tuning, and GPU acceleration. The engineer will extend the inference framework to support inference and fine-tuning for Language models with a strong focus on mobile and integrated GPU acceleration (Vulkan).

This role requires hands-on experience with quantization techniques, LoRA architectures, Vulkan backend, and mobile GPU debugging. You will play a critical role in pushing the boundaries of desktop and on-device inference and fine-tuning performance for next-generation SLM/LLMs.

Responsibilities:
<ul>
 <li>Implement and optimize custom inference and fine-tuning kernels for small and large language models across multiple hardware backends.</li>
 <li>Implement and optimize full and LoRA fine-tuning for small and large language models across multiple hardware backends.</li>
 <li>Design and extend datatype and precision support (int, float, mixed precision, ternary QTypes, etc.).</li>
 <li>Design, customize, and optimize Vulkan compute shaders for quantized operators and fine-tuning workflows.</li>
 <li>Investigate and resolve GPU acceleration issues on Vulkan and integrated/mobile GPUs.</li>
 <li>Architect and prepare support for advanced quantization techniques to improve efficiency and memory usage.</li>
 <li>Debug and optimize GPU operators (e.g., int8, fp16, fp4, ternary).</li>
 <li>Integrate and validate quantization workflows for training and inference.</li>
 <li>Conduct evaluation and benchmarking (e.g., perplexity testing, fine-tuned adapter performance).</li>
 <li>Conduct GPU testing across desktop and mobile devices.</li>
 <li>Collaborate with research and engineering teams to prototype, benchmark, and scale new model optimization methods.</li>
 <li>Deliver production-grade, efficient language model deployment for mobile and edge use cases.</li>
 <li>Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.</li>
</ul>

Senior AI Research Engineer, Model Inference (Remote)

This role involves leading development of a secure, user-friendly Linux operating system based on that will potentially build on Wayland, MicroVMs and immutability principles and be compatible across diverse devices from desktops to smart watches. It emphasizes security comparable to Qubes OS through virtualization and compartmentalization, while prioritizing convenience and ease of use. As the lead developer, you will initiate and guide the project from its foundational stages. Responsibilities <ul> <li>Lead and mentor a team of Linux developers, ensuring high code quality, adherence to open source practices, and kernel development standards. </li> <li>Design and implement core OS components, including kernel modifications, user-space tools, and system integrations for robustness, security, and performance. </li> <li>Collaborate with hardware and security teams to ensure seamless integration and broad device compatibility. </li> <li>Partner with a project manager to define technical roadmaps, prioritize tasks, and achieve project milestones, identifying risks and implementing solutions promptly. </li> <li>Provide hands-on leadership to bootstrap the project, including initial development, recruiting key personnel, and fostering open source community engagement. </li> <li>Conduct code and architecture reviews to optimize for stability, performance, and hardware compatibility.</li> <li>Stay informed on advancements in the Linux ecosystem, kernel developments, and relevant tools, incorporating innovations as appropriate. </li> </ul>

Technical Lead - Linux (100% Remote)

Join Tether Operations Limited and explore 17   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.