Qureos Mentor

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;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&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;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&rsquo;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&rsquo;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<ul><li>
We are looking for talented individuals to join us for an internship in 2025/2026. MSc/PhD Internships at Tether aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.</li><li>
In our team, you will have the opportunity to participate in the development of the state-of-the-art (SOTA) foundation models, and will also be responsible for optimizing our distributed model training framework continuously.</li><li>
PhD internships at Tether provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.</li><li>
Applications will be reviewed on a rolling basis. We encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).</li></ul>
Responsibilities<ul><li>
Research and develop state-of-the-art LLM and/or video or multimodality models to accelerate open-source progress in the domains.</li><li>
Implement the application of large models in our business scenarios, like pre-training, supervised fine-tuning, post-training, inference etc.</li><li>
Continuously optimize the training framework to better adapt to the training of large models on thousands of multi-node GPUs.</li><li>
In this role, you&rsquo;ll have the opportunity to advance the development of open-source LLM, vision and/or multimodal foundation models and products. You will have the opportunity to collaborate with broader teams across Tether.</li></ul><ul><li>
MSc/PhD candidate in computer science or a related technical discipline</li><li>
Related Research Experience at least one of the following areas: LLM, computer vision, multimodality</li><li>
Be proficient with PyTorch deep learning framework and libraries</li><li>
Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills</li><li>
Publications in the top AI conferences (e.g., ACL, NIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, IJCV, etc.) is a nice to have.</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>
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: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
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.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
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.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Research Engineer Intern (NLP/Video/Multimodal LLM)

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;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&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;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&rsquo;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&rsquo;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 Head of AI (R&amp;D), you will lead cross-functional teams to drive innovation in training multimodal large language models (LLMs), video foundation models, and other advanced AI systems. These models will be optimized for both cloud-based deployments and edge computing environments, ensuring scalability, efficiency, and real-world applicability. You will report directly to senior leadership and play a pivotal role in shaping the company's AI strategy, from research breakthroughs to production-ready solutions.
Key Responsibilities<ul><li>
Lead and mentor interdisciplinary teams of researchers, engineers, and data scientists to pioneer cutting-edge AI research and development.</li><li>
Innovate on model architectures, training methodologies, and optimization techniques for multimodal LLMs (integrating text, image, audio, and video) and specialized video foundation models.</li><li>
Scale the R&amp;D team by recruiting top talent, fostering a collaborative culture, and implementing processes for efficient growth and knowledge sharing.</li><li>
Oversee scalable training pipelines, including data curation, distributed computing strategies (e.g., using HPC clusters or cloud resources), and hyperparameter optimization to handle massive datasets.</li><li>
Deliver high-quality, general-purpose models tailored to specific applications and use cases, ensuring they meet performance benchmarks for accuracy, latency, and resource efficiency on cloud and edge devices.</li><li>
Collaborate with product, engineering, and deployment teams to transition research prototypes into production systems.</li><li>
Stay abreast of industry trends, publish research findings, and represent the company at conferences or in partnerships.</li><li>
Manage budgets, timelines, and resources for R&amp;D projects, ensuring alignment with business objectives and pragmatic AI practices.</li></ul><ul><li> 
Proven experience leading AI R&amp;D teams (5+ years in a leadership role) with a track record of delivering production-grade models from concept to deployment.</li><li>
PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.</li><li>
Deep expertise in training foundation models, including multimodal LLMs and video models, with hands-on experience in frameworks like PyTorch, TensorFlow, or JAX.</li><li>
Strong understanding of scalable training techniques, such as data parallelism, model parallelism, and efficient inference on edge devices (e.g., mobile, IoT).</li><li>
Demonstrated ability to scale teams and projects in fast-paced environments.</li></ul>
Preferred<ul><li>
Publications in top-tier conferences/journals (e.g., NeurIPS, CVPR, ICML) on relevant topics.</li><li>
Experience with real-world deployments of AI models in datacenter and edge settings.</li><li>
Familiarity with ethical AI, bias mitigation, and regulatory compliance in model development.</li><li>
Strong programming skills in Python and experience with distributed systems (e.g., Kubernetes, Ray).</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>
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: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
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.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
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.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Head of AI (R&D) - (100% remote)

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;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&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;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&rsquo;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&rsquo;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<ul><li>
In this role you will spearhead the vision, strategy, and execution of Local AI applications designed to empower users with on-device, privacy-focused AI capabilities, integrating seamlessly with Tether's P2P ecosystem for decentralized, efficient, and secure experiences.</li><li>
We&rsquo;re looking for an experienced product manager with a strong bias for actionable, measurable outcomes, demonstrating an overlap between a deep understanding of AI technologies, user-centric design, and product management, with the drive to pursue innovation in local AI spaces.</li></ul>
This is a great opportunity for:<ul><li>
An experienced product leader with a strong product-led growth mindset who wants to take their career to the next level, moving from partial ownership to controlling the building, scaling, and success of new QVAC Local AI apps.</li><li>
Someone with experience in AI apps that goes beyond consumer level, into the core of how on-device AI systems function, including privacy and performance considerations.</li><li>
Someone who understands the intricacies of AI software and hardware to the extent that they can actively engage with highly-technical stakeholders.</li><li>
A team leader who has had close contact with operations and feels capable of setting up, organizing, and scaling teams from scratch across all facets of app development.</li><li>
A high-agency individual who can actively set internal and external goals, team culture, and liaise effectively and directly with executive management and other departments to achieve them.</li></ul>
Responsibilities:<ul><li>
Product vision &amp; strategy: Define and champion a long-term vision for Local AI apps, aligning with company objectives, user privacy ethos, and industry trends in on-device AI to maintain a competitive edge.</li><li>
User-centric focus: Engage with users, developers, and researchers to identify market opportunities, maximize value, and deliver seamless, intuitive experiences in local AI environments.</li><li>
Feature expertise: Lead the ideation, prioritization, and definition of features for Local AI apps, ensuring they leverage on-device processing for efficiency, security, and personalization.</li><li>
Design and wireframing: Create simple wireframes and prototypes to communicate design concepts, enabling designers to refine and implement polished UX/UI.</li><li>
Stakeholder communication: Build relationships with executives, engineers, partners, and industry influencers to foster strategic alliances, gather feedback, and advocate for the apps.</li><li>
Ownership and Leadership: Develop and manage comprehensive product roadmaps, prioritizing features and enhancements, partnering with engineering, design, and cross-functional teams for successful launches.</li><li>
Go-To-Market: Autonomy to build and own launch plans, collaborating with expansion and marketing teams to operationalize strategies that position the Local AI apps as valuable solutions in P2P and fintech ecosystems.</li><li>
Performance Tracking: Define and monitor KPIs related to app engagement, user satisfaction, privacy compliance, and performance efficiency to ensure optimized product success.</li></ul><ul><li>
5+ years of product management experience, with at least 2 years managing AI-powered applications, including past work on AI based apps, preferably Local AI.</li><li>
Strong technical understanding of AI/ML concepts, such as on-device inference, model optimization, edge computing, and privacy-preserving techniques, without requiring hands-on coding.</li><li>
Expertise in feature design, prioritization, and roadmap development for AI products, with a proven track record of delivering user-focused features.</li><li>
Demonstrated excellence in stakeholder communication, including presenting complex ideas clearly, negotiating priorities, and building consensus in dynamic environments.</li><li>
Ability to design simple wireframes using tools like Figma, Sketch, or Balsamiq to bridge concepts between stakeholders and design teams.</li><li>
Familiarity with agile/Scrum methodologies, product analytics tools, and user research techniques.</li><li>
Proven track-record of successful product launches in AI or tech spaces.</li><li>
Exceptional leadership, communication, prioritization, and team-building skills.</li><li>
Degree in Business, Computer Science, Engineering, or a closely related field.</li><li>
Skilled in defining, tracking, and reporting on product KPIs to measure success.</li></ul>
You&rsquo;re the ideal candidate if, aside from the above, you meet some of the following criteria:<ul><li>
Hands-on experience with Local AI frameworks or tools (e.g., TensorFlow Lite, Core ML, or ONNX Runtime).</li><li>
Experience in blockchain or P2P technologies, particularly in decentralized AI contexts.</li><li>
Familiarity with UX/UI best practices for mobile/desktop apps, including accessibility and performance optimization.</li><li>
Experience mentoring teams or overseeing cross-functional collaborations.</li><li>
Hands-on experience with data-driven decision making (e.g., A/B testing, user journey mapping) and associated tools.</li><li>
Knowledge of data privacy regulations (e.g., GDPR, CCPA) in AI applications.</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>
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: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
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.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
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.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Senior Technical Product Manager (AI/ML PaaS)

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;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&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;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&rsquo;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&rsquo;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<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><ul><li>
Bachelor&rsquo;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><h4 class="jobSectionHeader">
Nice to have skills:</h4><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>
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: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
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.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
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.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Senior Research Engineer - Multimodal & Video Foundation Model (100% Remote)

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;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&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;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&rsquo;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&rsquo;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 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><ul><li> 
Proficiency in C++ and GPU kernel programming.</li><li>
Proven Expertise in GPU acceleration with Vulkan framework.</li><li>
Strong background in quantization and mixed-precision model optimization.</li><li>
Experience and Expertise in Vulkan compute shader development and customization.</li><li>
Familiarity with LoRA fine-tuning and parameter-efficient training methods.</li><li>
Ability to debug GPU-specific performance and stability issues on desktop and mobile devices.</li><li>
Hands-on experience with mobile GPU acceleration and model inference.</li><li>
Familiarity with large language model architectures (e.g., Qwen, Gemma, LLaMA, Falcon etc.).</li><li>
Experience implementing custom backward operators for fine-tuning.</li><li>
Experience creating and curating custom datasets for style transfer and domain-specific fine-tuning.</li><li>
Demonstrated ability to apply empirical research to overcome challenges in model</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>
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: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
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.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
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.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Senior AI Research Engineer, Model Inference (100% Remote)

Join Tether Operations Limited and explore 10   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.

Tether Operations Limited

ABOUT_COMPANY

Research Engineer Intern (NLP/Video/Multimodal LLM)

Head of AI (R&D) - (100% remote)

Head of AI (R&D) - (100% remote)

Head of AI (R&D) - (100% remote)

Senior Technical Product Manager (AI/ML PaaS)

Senior Research Engineer - Multimodal & Video Foundation Model (100% Remote)

Senior AI Research Engineer, Model Inference (100% Remote)