201 AI Research jobs in the United Arab Emirates

AI Research Engineer

Dubai, Dubai Tether Operations Limited

Posted today

Job Viewed

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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 LLM architectures, a strong grasp of pre-training optimization 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 AI performance.

Responsibilities :

  • Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.

  • Design, prototype, and scale innovative architectures to enhance model intelligence.

  • Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.

  • Investigate, debug, and improve both model efficiency and computational performance.

  • Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.

  • 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&D (with good publications in A* conferences).

  • Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.

  • Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.

  • Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.

  • Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

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AI Research Engineer

Abu Dhabi, Abu Dhabi Tether Operations Limited

Posted today

Job Viewed

Tap Again To Close

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 LLM architectures, a strong grasp of pre-training optimization 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 AI performance.

Responsibilities :

  • Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.

  • Design, prototype, and scale innovative architectures to enhance model intelligence.

  • Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.

  • Investigate, debug, and improve both model efficiency and computational performance.

  • Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.

  • 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&D (with good publications in A* conferences).

  • Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.

  • Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.

  • Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.

  • Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

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This advertiser has chosen not to accept applicants from your region.

AI Research Engineer

Abu Dhabi, Abu Dhabi Tether Operations Limited

Posted today

Job Viewed

Tap Again To Close

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 LLM architectures, a strong grasp of pre-training optimization 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 AI performance.

Responsibilities :

  • Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.

  • Design, prototype, and scale innovative architectures to enhance model intelligence.

  • Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.

  • Investigate, debug, and improve both model efficiency and computational performance.

  • Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.

  • 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&D (with good publications in A* conferences).

  • Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.

  • Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.

  • Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.

  • Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.

AI Research Engineer

Dubai, Dubai Tether Operations Limited

Posted today

Job Viewed

Tap Again To Close

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 LLM architectures, a strong grasp of pre-training optimization 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 AI performance.

Responsibilities :

  • Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.

  • Design, prototype, and scale innovative architectures to enhance model intelligence.

  • Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.

  • Investigate, debug, and improve both model efficiency and computational performance.

  • Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.

  • 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&D (with good publications in A* conferences).

  • Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.

  • Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.

  • Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.

  • Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

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AI Research Scientist

Abu Dhabi, Abu Dhabi beBeeresearch

Posted today

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Job Description

Research Scientist in AI and Biology

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We are a pioneering start-up dedicated to harnessing the power of generative AI to transform the landscape of biology and medicine. Our team comprises visionary scientists, engineers, and entrepreneurs who share a passion for pushing the boundaries of what is possible.

We are committed to decoding biology holistically and enabling life-transforming solutions through our pan-modal Large Biological Models (LBM). As the first movers in this field, we are pioneering a new era of biomedicine, with our LBM training leading to groundbreaking advancements and a transformative approach to healthcare.

Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With a global presence, we are poised to make a significant impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Job Responsibilities:

  • Conduct cutting-edge research in AI, foundation models, and computational biology.
  • Improve existing models and explore new methodologies to advance our AI capabilities in biology.
  • Collaborate with the team on designing and executing large-scale experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.

Requirements:

  • A strong background in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Excellent coding skills in C/C++ and Python.
  • Familiarity with deep learning frameworks like PyTorch, Hugging Face, Megatron-LM, DeepSpeed, etc.
  • Experience improving ML accuracy using low-precision formats.
  • 1+ years of relevant industry experience.
  • A solid understanding of GPU, CPU, or other AI accelerator architectures.
  • Familiarity with LLM architectures and training infrastructure.

What We Offer:

  • A dynamic and innovative work environment.
  • The opportunity to work on cutting-edge projects and contribute to shaping the future of biology and medicine.
  • A competitive compensation package and benefits.

We Are an Equal Opportunity Employer:

We celebrate diversity and are committed to creating an inclusive environment for all employees. If you are passionate about harnessing the power of AI to transform the world, join us on this exciting journey!

This advertiser has chosen not to accept applicants from your region.

AI Research Engineer

Abu Dhabi, Abu Dhabi Tether Operations Limited

Posted today

Job Viewed

Tap Again To Close

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 solutions enable seamless integration of reserve-backed tokens across blockchains, empowering businesses worldwide with instant, secure, and cost-effective digital transactions. Transparency and trust are at the core of our mission.

Innovate with Tether

Tether Finance : Features the trusted USDT stablecoin and pioneering digital asset tokenization services.

Additional Initiatives :

Tether Power : Focuses on sustainable energy solutions for Bitcoin mining.

Tether Data : Develops AI and data sharing solutions like KEET.

Tether Education : Provides digital learning opportunities for individuals.

Tether Evolution : Merges technology with human potential for groundbreaking innovations.

Why Join Us?

Work remotely with a global, talented team in a fast-growing industry. If you excel in English communication and want to contribute to innovative fintech solutions, Tether is the place for you.

About the job :

As part of the AI model team, you will develop innovative architectures for various AI models, enhancing intelligence, efficiency, and capabilities. Your expertise in LLM architectures and pre-training optimization will drive groundbreaking advancements in AI performance.

Responsibilities :

  • Pre-train AI models on large-scale distributed servers with NVIDIA GPUs.
  • Design and prototype scalable architectures to improve model intelligence.
  • Conduct experiments, analyze results, and refine methodologies.
  • Debug and optimize model efficiency and computational performance.
  • Advance training systems for scalability and efficiency.

Qualifications include a degree in Computer Science or related fields, preferably a PhD in NLP or Machine Learning, with a strong record in AI R&D, experience with large-scale LLM training on NVIDIA GPUs, familiarity with distributed training frameworks, and expertise in transformer models, PyTorch, and Hugging Face libraries.

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This advertiser has chosen not to accept applicants from your region.

AI Research Engineer

Dubai, Dubai Tether Operations Limited

Posted today

Job Viewed

Tap Again To Close

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 solutions enable seamless integration of reserve-backed tokens across blockchains, empowering businesses worldwide. Transparency and trust are at the core of everything we do.

Innovate with Tether

Tether Finance: Our product suite features the trusted stablecoin USDT and digital asset tokenization services.

Tether Power: We promote sustainable Bitcoin mining using eco-friendly practices.

Tether Data: We develop AI and P2P solutions like KEET for secure data sharing.

Tether Education: We democratize digital learning to empower individuals globally.

Tether Evolution: We push technological boundaries to merge innovation with human potential.

Why Join Us?

Our remote, global team is passionate about fintech innovation. If you have excellent English skills and want to contribute to a leading platform, Tether is your place.

Are you ready to be part of the future?

About the job:

As part of our AI model team, you will develop evaluation frameworks for AI models across their lifecycle, focusing on metrics like accuracy, latency, and robustness. You will work on models from resource-efficient to multi-modal architectures, collaborating with cross-functional teams to implement evaluation pipelines and dashboards, setting industry standards for AI model quality.

Responsibilities:

  • Develop and deploy evaluation frameworks assessing models during pre-training, post-training, and inference, tracking KPIs such as accuracy, latency, and memory usage.
  • Curate datasets and design benchmarks to measure model robustness and improvements.
  • Collaborate with product, engineering, and operations teams to align evaluation metrics with business goals, presenting findings via dashboards and reports.
  • Analyze evaluation data to identify bottlenecks, proposing optimizations for performance and resource efficiency.
  • Conduct experiments to refine evaluation methodologies, staying updated with emerging techniques to enhance model reliability.

Minimum requirements:

  • A degree in Computer Science or related field; PhD in NLP, Machine Learning, or similar is preferred, with a strong R&D record.
  • Experience designing and evaluating AI models at various stages, proficient in evaluation frameworks assessing accuracy, convergence, and robustness.
  • Strong programming skills and experience building scalable evaluation pipelines, familiar with performance metrics like latency, throughput, and memory footprint.
  • Ability to conduct iterative experiments, staying current with new techniques to improve benchmarking practices.
  • Experience working with cross-functional teams, translating technical insights into actionable recommendations.
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About the latest Ai research Jobs in United Arab Emirates !

AI Research Engineer

Dubai, Dubai Tether Operations Limited

Posted today

Job Viewed

Tap Again To Close

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 LLM architectures, a strong grasp of pre-training optimization 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 AI performance.

Responsibilities :

  • Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.

  • Design, prototype, and scale innovative architectures to enhance model intelligence.

  • Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.

  • Investigate, debug, and improve both model efficiency and computational performance.

  • Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.

    • 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&D (with good publications in A* conferences).

    • Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.

    • Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.

    • Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.

    • Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

    #J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.

AI Research Engineer

Abu Dhabi, Abu Dhabi Tether Operations Limited

Posted today

Job Viewed

Tap Again To Close

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 LLM architectures, a strong grasp of pre-training optimization 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 AI performance.

Responsibilities:

  • Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.

  • Design, prototype, and scale innovative architectures to enhance model intelligence.

  • Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.

  • Investigate, debug, and improve both model efficiency and computational performance.

  • Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.

    • 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&D (with good publications in A* conferences).

    • Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.

    • Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.

    • Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.

    • Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

    #J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.

AI Research Engineer

Dubai, Dubai Tether Operations Limited

Posted today

Job Viewed

Tap Again To Close

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 our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio.

We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios.

Responsibilities :

  • Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms.

  • Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint.

  • Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms.

  • Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions.

  • Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems.

  • 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.

    • 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&D (with good publications in A* conferences).

    • Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms.

    • A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios.

    • Must have strong expertise in writing CPU and GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required.

    • Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency.

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