What Jobs are available for Engineering Research in the United Arab Emirates?
Showing 15 Engineering Research jobs in the United Arab Emirates
Lead HVAC Engineer (Engineering Design Consultancy experience)
Posted today
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Job Description
Rejlers International Engineering Solutions is a trusted provider of high-quality engineering and project services. We have been present in Abu Dhabi, UAE, for over 15 years.
Operating from our regional headquarters in Abu Dhabi City and with an own office in Navi Mumbai, India, we support a wide range of operations across the region. Specializing in the Oil & Gas, Refining, Petrochemical, Chemical, and Renewable Energy industries, as well as Industrial Infrastructure such as Buildings and Structures, Power Distribution, and Telecommunications, we serve clients throughout the UAE and the Arabian Gulf.
Our strong track record in Industrial Digitization and AI solutions reflects our commitment to innovation and excellence. With a parent company boasting more than 80 years of engineering expertise, we are proud to bring Nordic engineering heritage to the region blending cutting-edge technology with a longstanding tradition of quality and reliability.
We are now looking for a Lead HVAC Engineer to execute projects and support bids in Abu Dhabi.
Reports ToThe Lead HVAC Engineer reports to the Head of Discipline, Mechanical & Piping.
Job OverviewThis job function is to be assigned in projects, taking the role of Lead HVAC Engineer. In addition, the job position aims to be a focal point on all aspects of quality-related issues in the engineering projects and to establish good operational relationships and liaise with the client and subcontractor personnel in order to ensure that the project’s quality goals and objectives are achieved.
Responsibilities and Duties The main duties and responsibilities of the Lead HVAC Engineer are but not limited to the following:
- To assist engineers / Design manager / Discipline Manager for the engineering design of the project.
- Ensure verification of source data, concept & FEED drawings / concepts as required.
- Complete responsibility for HVAC engineering, design and deliverables on projects at all stages of the design process. While the primary focus will be on HVAC design, the successful candidate will be a well-rounded Mechanical Engineer with an ability to adapt and handle various mechanical package equipment, ventilation, refrigeration, and related building services systems.
- Conduct HVAC Design and Engineering activities for projects, from initial concept definition phase through engineering studies, FEED, detailed design and commissioning.
- Review Client's technical documentation and requirements.
- Defines engineering requirements and leads on the technical decisions.
- Participates meetings and workshops.
- Explain technical decisions and have constructive discussions with stakeholders of the technical requirements.
- Understand project’s scope and required technical activities.
- Prepare and / or review Cooling and Heating Load calculations in accordance with standards.
- Prepares HVAC Design Basis and Specifications.
- Preparation of HVAC Duct routing design and sizing.
- Establish sizing and selection of HVAC air terminals, e.g. grilles, diffuser, registers and louvers.
- HVAC Chilled Water system design, sizing of equipment and piping design.
- Ability to develop HVAC Air Flow Diagram, Control Diagram, Ducting & Instrumentation Diagram, Cause & Effect chart.
- Ability to develop Chilled Water / Refrigeration P&ID and Control Diagram, Cause & Effect chart.
- Preparation of HVAC Sequence of Operation & Control Philosophy.
- Preparation of chilled water/Refrigeration Sequence of Operation & Control Philosophy.
- HVAC Chilled Water / Refrigeration system design, sizing of equipment and piping design.
- Prepares the technical documentation / drawings for HVAC requisition.
- Technical evaluation / clarification of HVAC equipment and technical bid evaluation reports to support order placement.
- Provide specialist engineering support to global projects in a major engineering contractor organization.
- Project technical support – familiarity with risk assessments, design reviews, constructability, HAZOP, etc.
- Technical supervision of supplier design and control of supplier interface, review of Vendor documents plus the co-ordination of interfaces with other engineering disciplines.
- Verify that all designs are to required standards & quality and that the objectives of the project are met.
- Engineering Graduate (BEng, BSc. or MSc.) in Mechanical or Technical related degree.
- Over 15+ years of experience and in the specific discipline or in HVAC engineering and design in oil & gas / industrial sector/ EPC projects.Minimum 8 years in a Senior Role.
- Must have worked in FEED and EPC projects and delivered to ADNOC Group of Companies.
- Extensive design experience, primarily in a contracting environment, working with HVAC equipment.
- Technical knowledge in Industrial Ventilation criteria, systems and calculations, and ability to apply these to various application and processes.
- Experience of HVAC calculation software program (Carrier HAP, ELITE, etc.).
- Experience of HVAC design software program (AutoCAD etc.)
- Knowledge in HVAC equipment and item selection as part of the HVAC design practice.
- Knowledge of International Codes applicable to HVAC design (ASHRAE, AMCA and Industry standards) as well general codes and standards used in UAE (AGES etc.).
- Experienced in all stages of project delivery (Studies, FEED and Detail Engineering, Commissioning)
- Excellent interpersonal, teamwork and communication skills.
- Attention to details and ability of critical thinking.
- Excellent people management skills with solid understanding of customer interface.
- Team player, hardworking, problem solver, self-driven with can-do attitude. Ready to join in short notice is added value.
- Meets with UAE visa requirements.
Our work is guided by our vision: Home of the learning minds. We believe in continuous learning and development. We want to succeed both as individuals and as a company through a common goal: success through continuous learning.
Do you want to join us?
Please apply at once as we proceed with suitable candidates as soon as possible. Submit your application, CV, and salary expectation latest by 16th November 2025.
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Health Insurance Product Development Analyst
Posted 9 days ago
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Job Description
Provide advanced professional input to Product Development, Client Solutions and Proposition assignments/projects to ensure our organisation becomes an undisputed partner of choice to the people we serve, and maximize our growth strategy for Cigna Middle East and Africa Responsible for refreshing existing core products and propositions that will help drive incremental growth, as well as introduce new products and enhancements to propositions that are compliant and competitive within target market(s) and segments. Responsible for the growth and development of other team members
**Main Duties/Responsibilities:**
+ Key contributor and advisor to the Head of Product & Solution Strategy and Vendor Management with the development of regionally appropriate, compliant and competitive products and propositions for all of Cigna MEA (Gulf Cooperation Council (GCC), Lebanon, Africa) and segments (Top-Tier, Mid-Tier, 'local/domestic') for both Group and Individual, in line with our Simple, Affordable and Predictable strategy and executing our business strategic priorities.
+ Lead Local Product forum with internal stakeholders, creating governance, gathering feedback to inform team priorities and planning and to communicate team strategies and updates
+ Lead strategic business priorities to execute on business goals and objectives
+ Influence and lead on departmental priorities to ensure their execution to further enable our growth and earnings targets
+ Be agile on ad-hoc business priorities eg New product or operating model requirements for a strategic new business client
+ Reacting to any regulatory market change, displaying agility and adaptability, whilst continuing to execute on the business strategic priorities.
+ Representing the Product & Solution Strategy Team in Steer Co meetings, clearly articulating the progress and mapping out recommendations with a well thought out analytical approach while being open and candid on any risks.
+ Lead Global (Cignalinks) projects, being the conduit between the local and global teams, sharing the required local regulatory requirements globally and being instrumental in determining the appropriate operating models based on both global and local capabilities and requirements
+ Training, developing and leading other members of the Product & solution Strategy team
+ Partner with internal teams (Sales, Client Management, Underwriting, Actuary, IT and Operations) impacted in the product development process to collectively design, develop and launch new product initiatives.
+ Support the product roadmap priorities and ensure continued alignment to achieving our growth strategy
+ Project management responsibility for new product development initiatives, when a project manager is not allocated, working in an Agile environment
+ Communicate and work with peers in the product team to knowledge share
+ Understand and leverage partnership strengths and capabilities to support growth within the markets
+ Evaluate product portfolio status on an annual basis
+ Provide updates to the Head of Product for reporting to senior management
+ Report project status, resource utilization and ability to recommend changes to improve the team's overall effectiveness
+ Opportunity to work in a dynamic and agile team, working on strategic projects across the propositions team, including individual and health services segments
**Qualifications/Experience Required:**
+ Bachelors Degree preferred; MBA or Masters Degree or equivalent experience
+ Minimum 2-3 years experience/knowledge of domestic and expatriate healthcare products and services, preferably within Sales, Operations, Product or Marketing, and preferably with knowledge of group propositions.
+ Excellent written and oral communication skills
+ Experience of project management preferred
**Competencies:**
+ Manages Ambiguity
+ Nimble Learning
+ Drives Results
+ Courage
+ Communicates effectively
+ Collaborates
**About Cigna Healthcare**
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.
_Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws._
_If_ _you require reasonable accommodation in completing the online application process, please email:_ _for support. Do not email_ _for an update on your application or to provide your resume as you will not receive a response._
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Health Insurance Product Development Analyst
Posted today
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Retail and Product Development Manager
Posted today
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Job Summary:
We are seeking an experienced Retail and Product Development Manager to lead the design, development, and distribution of merchandise and souvenirs across sports, fashion, lifestyle, and entertainment sectors. This role requires a blend of creative product vision and retail management, working closely with IP holders to develop merchandise that resonates with target markets.
Key Responsibilities:
- Product Development: Manage end-to-end product development, collaborating with IP holders to create merchandise aligned with brand standards and market trends.
- Retail & Distribution Support: Oversee multi-channel strategies for B2B, B2C, and DTC, ensuring efficient inventory and distribution management across channels.
- Sourcing & Supply Chain Optimization: Coordinate with suppliers to secure quality materials, monitor logistics, and optimize cost and lead times.
- Market Analysis & Trend Monitoring: Conduct market research to identify trends and innovation opportunities, informing product development decisions.
- Cross-functional Collaboration: Partner with design, procurement, and marketing teams to execute product launches and drive market engagement.
Qualifications:
- 10 years of experience in product development, retail, or a related field in sports, fashion, lifestyle, or entertainment.
- Proven expertise in managing full product cycles and collaborating with IP holders.
- Familiarity with multi-channel retail strategies, supply chain logistics, and sustainable sourcing.
- Preferred Skills: Experience in retail technologies and e-commerce platforms. Arabic language proficiency is an advantage
Location: Dubai
Employment Type: Full-time
Apply now to join our dynamic team and shape the future of branded merchandise
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Embedded Security Research Engineer
Posted today
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CENSUS is a leading global cybersecurity services provider, delivering cutting-edge security solutions to Fortune 500 companies and organizations worldwide. We serve diverse industries including financial services, critical infrastructure, automotive, and secure communications. Our strength lies in combining rigorous research, scientific analysis, and deep engineering expertise to deliver unparalleled security consulting and assessment services.
The RoleWe're seeking exceptional Security Research Engineers to join our Product Security Professional Services team. In this role, you'll work directly with our clients to design, assess, and implement robust security solutions for embedded systems and platforms.
Key Responsibilities- Conduct comprehensive security assessments of platform technologies, including hardware, firmware, system software, and protocols
- Design and review security architectures that align with product requirements
- Perform in-depth security analysis through source code auditing, functional testing, and fuzz testing
- Research and evaluate emerging technologies and frameworks for client security solutions
- Identify security vulnerabilities and architectural weaknesses across various technologies
- Document and communicate security risks to both technical and business stakeholders
- Collaborate with client development teams and partners on long-term security projects
- Verify implementation compliance with security requirements and threat models
- MSc or BSc in Electrical Engineering, Computer Science, Computer Engineering, or related field
- 4+ years experience in embedded systems or platform security
- 2+ years leading embedded systems security research projects
- Background in C, C++, Rust, or Assembly (ARM or x86)
- Expert knowledge of embedded systems, Linux, or RTOS security
- Proficiency in C, C++, Rust, or Assembly (ARM/x86) for system-level programming
- Hands-on experience with:
- ARM architectures and platforms
- Trusted execution environments (TEE, TPM, SE, SPU)
- Secure boot and hardware-backed attestation
- System hardening features (MPU, MMU/IOMMU, NX, DAC/MAC)
- Reverse engineering and debugging techniques
- Vulnerability assessment and reporting
- Understanding of cryptographic implementations in system security
- Experience with:
- Edge and cloud confidential computing
- Hardware/software side-channel attacks
- RISC-V architectures
- International team collaboration
- Knowledge of virtualization and hypervisor technologies
- Analytical thinking and scientific mindset
- Strong problem-solving capabilities
- Dedication to continuous learning and growth
- Ability to take ownership of complex projects
Join a team at the forefront of cybersecurity innovation, working with cutting-edge technologies and global clients. We offer opportunities to tackle challenging security problems while growing your expertise in a collaborative, research-driven environment.
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AI Research Engineer (Model Evaluation)
Posted today
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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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AI Research Engineer (Fine-tuning)
Posted today
Job Viewed
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 supervised fine-tuning methodologies for advanced models. Your work will refine pre-trained models so that they deliver enhanced intelligence, optimized performance, and domain-specific capabilities designed for real-world challenges. You will work on a wide spectrum of systems, ranging from streamlined, resource-efficient models that run on limited hardware to complex multi-modal architectures that integrate data such as text, images, and audio.
We expect you to have deep expertise in large language model architectures and substantial experience in fine-tuning optimization. You will adopt a hands-on, research-driven approach to developing, testing, and implementing new fine-tuning techniques and algorithms. Your responsibilities include curating specialized data, strengthening baseline performance, and identifying as well as resolving bottlenecks in the fine-tuning process. The goal is to unlock superior domain-adapted AI performance and push the limits of what these models can achieve.
Responsibilities :
Develop and implement new state-of-the-art and novel fine-tuning methodologies for pre-trained models with clear performance targets.
Build, run, and monitor controlled fine-tuning experiments while tracking key performance indicators. Document iterative results and compare against benchmark datasets.
Identify and process high-quality datasets tailored to specific domains. Set measurable criteria to ensure that data curation positively impacts model performance in fine-tuning tasks.
Systematically debug and optimize the fine-tuning process by analyzing computational and model performance metrics.
Collaborate with cross-functional teams to deploy fine-tuned models into production pipelines. Define clear success metrics and ensure continuous monitoring for improvements and domain adaptation.
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 with large-scale fine-tuning experiments, where your contributions have led to measurable improvements in domain-specific model performance.
Deep understanding of advanced fine-tuning methodologies, including state-of-the-art modifications for transformer architectures as well as alternative approaches. Your expertise should emphasize techniques that enhance model intelligence, efficiency, and scalability within fine-tuning workflows.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in developing fine-tuning pipelines, continuously adapting models to new data, and deploying these refined models in production on target platforms.
Demonstrated ability to apply empirical research to overcome fine-tuning bottlenecks. You should be comfortable designing evaluation frameworks and iterating on algorithmic improvements to continuously push the boundaries of fine-tuned AI performance.
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AI Research Engineer (Pre-training)
Posted today
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Job Description
Overview
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.
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.
ResponsibilitiesConduct 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 (Model Serving & Inference)
Posted today
Job Viewed
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 security are at the core of our mission to build trust in digital transactions.
Innovate with Tether
Tether Finance: Home of the trusted stablecoin USDT and innovative digital asset tokenization services.
Tether Power: Eco-friendly energy solutions for Bitcoin mining, utilizing sustainable practices across diverse locations.
Tether Data: Advancing AI and peer-to-peer tech with solutions like KEET for secure data sharing.
Tether Education: Providing accessible digital learning to empower individuals in the digital economy.
Tether Evolution: Pushing technological boundaries to merge human potential with innovation.
Why Join Us?
Our remote, global team is passionate about fintech innovation. Join us to work alongside top talent, influence industry standards, and grow with a fast-paced, industry-leading company.
If you excel in English communication and are eager to contribute to cutting-edge platforms, Tether is your next career move.
About the job:
As part of our AI model team, you will innovate in model serving and inference architectures for advanced AI systems, focusing on optimizing deployment strategies for responsiveness, efficiency, and scalability across various hardware environments, including resource-constrained devices and complex multi-modal systems.
Your role involves developing, testing, and deploying robust inference pipelines, establishing performance metrics, and troubleshooting bottlenecks to ensure high-throughput, low-latency AI performance in real-world applications.
Responsibilities :
- Design and deploy high-performance model serving architectures optimized for diverse environments, including edge devices.
- Set and track performance targets such as latency reduction, token response improvements, and memory minimization.
- Conduct inference testing in simulated and live environments, monitoring key metrics and documenting results for continuous improvement.
- Prepare high-quality datasets and scenarios for real-world deployment challenges, especially on low-resource devices.
- Analyze and address bottlenecks in serving pipelines to enhance scalability and reliability.
- Collaborate with teams to integrate optimized inference frameworks into production, ensuring continuous monitoring and improvement.
Minimum requirements:
- Degree in Computer Science or related field; PhD preferred, with a strong record in AI R&D.
- Proven experience in kernel and inference optimization on mobile devices, demonstrating measurable performance improvements.
- Deep understanding of modern model serving architectures and optimization techniques for resource-constrained environments.
- Expertise in CPU and GPU kernel development for mobile platforms and experience deploying inference pipelines.
- Ability to translate empirical research into practical optimizations, with skills in evaluation frameworks and iterative improvement.
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Senior AI Research Engineer, Model Inference (Remote)
Posted today
Job Viewed
Job Description
Overview
Join Tether and shape the future of digital finance. At Tether, we’re pioneering a global financial revolution. Our solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, 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.
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 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- Implement and optimize custom inference and fine-tuning kernels for small and large language models across multiple hardware backends.
- Implement and optimize full and LoRA fine-tuning for small and large language models across multiple hardware backends.
- Design and extend datatype and precision support (int, float, mixed precision, ternary QTypes, etc.).
- Design, customize, and optimize Vulkan compute shaders for quantized operators and fine-tuning workflows.
- Investigate and resolve GPU acceleration issues on Vulkan and integrated/mobile GPUs.
- Architect and prepare support for advanced quantization techniques to improve efficiency and memory usage.
- Debug and optimize GPU operators (e.g., int8, fp16, fp4, ternary).
- Integrate and validate quantization workflows for training and inference.
- Conduct evaluation and benchmarking (e.g., perplexity testing, fine-tuned adapter performance).
- Conduct GPU testing across desktop and mobile devices.
- Collaborate with research and engineering teams to prototype, benchmark, and scale new model optimization methods.
- Deliver production-grade, efficient language model deployment for mobile and edge use cases.
- 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.
- Proficiency in C++ and GPU kernel programming.
- Proven Expertise in GPU acceleration with Vulkan framework.
- Strong background in quantization and mixed-precision model optimization.
- Experience and Expertise in Vulkan compute shader development and customization.
- Familiarity with LoRA fine-tuning and parameter-efficient training methods.
- Ability to debug GPU-specific performance and stability issues on desktop and mobile devices.
- Hands-on experience with mobile GPU acceleration and model inference.
- Familiarity with large language model architectures (e.g., Qwen, Gemma, LLaMA, Falcon etc.).
- Experience implementing custom backward operators for fine-tuning.
- Experience creating and curating custom datasets for style transfer and domain-specific fine-tuning.
- Demonstrated ability to apply empirical research to overcome challenges in model development.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page.
Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses. All communication from us will come from emails ending with tether.to or tether.io.
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
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