Analog — an Abu Dhabi-based AI company catalyzing change across global enterprises, public sector, healthcare, and ecology through human-centered technology — is seeking an exceptional Senior Speech & Language Scientist to advance the understanding and application of speech and language technologies. This specialized, PhD-level research role bridges cutting-edge research and real-world development — enabling innovations across Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Speech Synthesis (TTS), Speaker Identification, Audio Enhancement, and Conversational AI using PyTorch, TensorFlow, signal processing, and deep learning. Candidates should have a proven research track record demonstrated by publications at top venues including ICASSP, InterSpeech, NIPS, CVPR, or ECCV.
About Analog — Human-Centered AI for a Connected World
Company: Analog — AI Catalyst for Human Experience | Abu Dhabi, UAE
Mission: Building technology that enriches human experiences and fosters a more connected world — empowering people to live in the analog world, not behind the digital one
Impact Areas: Global enterprises · Public sector · Healthcare · Ecology · Adaptive cities · Sports · Entertainment · Energy
Technology Focus: Physical intelligence · AI · Robotics · Mixed reality · Systems engineering — frontier-scale, industry-first solutions
Culture: Curiosity · Courage · Creativity | Collaborative, globally minded team | Technology amplifying human potential
Why This Analog Senior Speech Scientist Role in Abu Dhabi Is a Career-Defining Opportunity
Mission-Driven Research: At Analog, speech and language research contributes to healthcare AI, accessible technology, smart cities, and human-centered applications that create genuine real-world impact beyond commercial product development
Cross-Disciplinary Frontier: Working at the intersection of ASR, TTS, NLU, spatial audio, and conversational AI — with collaborators across robotics, mixed reality, and systems engineering — provides exceptional intellectual breadth and cross-domain research stimulation
Abu Dhabi AI Ecosystem: Abu Dhabi’s world-class AI research environment — anchored by MBZUAI, TII, G42, and AI71 — creates one of the world’s richest collaborative research ecosystems for senior AI scientists
Tax-Free Abu Dhabi: Competitive senior research scientist compensation with healthcare, education support, and generous leave benefits — all tax-free in Abu Dhabi, UAE
Position Overview
This Senior Speech & Language Scientist role at Analog in Abu Dhabi is a full-time, PhD-level research position at the intersection of advanced speech technology research and real-world AI application development. You will conduct cutting-edge research across speech recognition, speech synthesis, audio enhancement, speaker identification, and spatial audio, research, model, design, develop and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision, collaborate with cross-functional teams to implement research into production applications, improve model accuracy and coordinate solutions to implementation challenges, propose and develop AI applications for enterprise client use cases, and invent, analyze, design, develop and optimize algorithms across speech recognition, text-to-speech synthesis, and speaker recognition systems. The role requires a PhD in Computer Science, Electrical Engineering, or a related field with a focus on speech and audio processing, along with a proven research publication track record at top venues including ICASSP, InterSpeech, NIPS, or CVPR.
Why This Analog Senior Speech Scientist Role Is the Speech AI Research Career of 2026 in Abu Dhabi: Senior Speech & Language Scientists who combine PhD-level expertise in ASR, TTS, NLU, or audio processing with a demonstrated publication track record at ICASSP, InterSpeech, or equivalent top-tier venues, deep proficiency in PyTorch or TensorFlow for speech model development, strong signal processing foundations, and the cross-functional collaboration skills to translate research into real-world applications — represent one of the most intellectually rare, most globally mobile, and most personally impactful research talent profiles in the Abu Dhabi AI ecosystem. Analog’s human-centered mission, combined with Abu Dhabi’s extraordinary AI research environment and the role’s breadth across ASR, TTS, NLU, and spatial audio, makes this one of the most professionally fulfilling speech technology research opportunities available in the region in 2026.
Key Responsibilities
Cutting-Edge Speech & Audio Research — ASR, TTS, Speaker ID & Spatial Audio
- Conduct cutting-edge research in speech and audio technologies — pursuing original, publication-quality research contributions in automatic speech recognition, speech synthesis, audio enhancement, speaker identification, and spatial audio that advance the scientific community’s understanding of these technologies while directly enabling Analog’s applied AI product development across healthcare, enterprise, and smart city applications
- Research, model, design, develop, and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision — applying the full methodological toolkit of modern speech AI research to develop new approaches to fundamental speech processing challenges, from low-resource multilingual ASR to emotionally expressive TTS to robust far-field speaker recognition in real-world acoustic conditions
- Advance automatic speech recognition (ASR) systems — developing and optimizing recognition architectures that perform robustly across diverse languages, accents, acoustic environments, and domain vocabularies, applying self-supervised learning approaches, neural sequence modeling techniques, and data augmentation strategies that improve ASR performance particularly in the low-resource and multilingual scenarios most relevant to the UAE and MENA region’s linguistic diversity
- Develop natural language understanding (NLU) and conversational AI capabilities — building the semantic understanding, intent recognition, dialogue state tracking, and response generation components that transform speech recognition outputs into genuinely intelligent, contextually aware conversational AI systems capable of engaging in meaningful, task-productive dialogue with users across Analog’s enterprise and public sector application domains
- Research speech synthesis (TTS) and voice generation technologies — developing the neural TTS architectures, prosody modeling approaches, voice cloning techniques, and quality evaluation frameworks that enable natural, expressive, and person-appropriate synthetic speech for Analog’s accessibility, entertainment, healthcare, and human-computer interaction application use cases
Algorithm Design, Model Development & Production Implementation
- Invent, analyze, design, develop, and optimize algorithms and models in audio areas including speech recognition, text-to-speech, and speaker recognition — applying the creative algorithmic thinking, mathematical rigor, and engineering discipline that transforms novel research ideas into robust, scalable, production-deployable speech AI systems that perform reliably under real-world conditions rather than only under controlled laboratory evaluation settings
- Implement research using PyTorch, TensorFlow, and related ML frameworks — translating mathematical algorithm formulations into efficient, well-structured, tested, and maintainable code implementations that can be evaluated, iterated, and ultimately deployed as components of Analog’s production AI systems, applying the software engineering discipline that distinguishes production-ready research implementations from exploratory prototype code
- Work with large-scale speech and audio datasets and distributed computing systems — designing and managing the data pipelines, distributed training infrastructure, and experimental evaluation frameworks that enable research at the scale required to develop competitive, state-of-the-art speech AI models for Analog’s enterprise application contexts
- Improve the accuracy of speech and audio models and algorithms encountered during implementation — applying systematic model analysis, ablation study design, error analysis, and targeted improvement methodology to diagnose specific model failure modes and develop well-motivated algorithmic improvements that address root causes rather than simply patching observed symptoms
Cross-Functional Collaboration & Research Productization
- Collaborate with cross-functional teams including software engineers, product managers, and designers to implement research into real-world applications — bridging the gap between research laboratory findings and production AI systems by translating research advances into clear engineering requirements, working collaboratively with software development teams to implement research models as production-grade components, and maintaining technical ownership of research-derived capabilities through their integration into Analog’s product ecosystem
- Coordinate with various teams to solve problems encountered during model implementation in an efficient and effective way — applying the collaborative problem-solving, clear technical communication, and organizational coordination skills that enable research-to-product transitions to succeed without excessive delay, rework, or research quality compromise
- Propose scenarios where AI speech and language techniques could improve the efficiency of target enterprise clients’ businesses — contributing the commercial intelligence and application creativity that identifies the specific ways Analog’s speech AI capabilities could create measurable value for healthcare providers, public sector organizations, enterprise clients, and other target markets
Research Leadership, Innovation & Community Contribution
- Contribute to Analog’s innovation agenda through novel research proposals and exploratory investigations — maintaining the intellectual curiosity and research initiative that drives the organization’s scientific progress beyond the immediate product roadmap, identifying the emerging research directions in speech and audio AI that have the potential to create new product capabilities or research leadership positions for Analog in the global speech technology community
- Mentor junior researchers and manage collaborative research projects where applicable — sharing accumulated research expertise, methodological knowledge, and professional perspective with less experienced team members, helping them develop the experimental design rigor, critical analysis capability, and scientific communication skills that accelerate their growth as effective speech AI researchers
- Contribute to the global speech and audio research community through publications, conference participation, and technical dialogue — maintaining Analog’s research reputation and talent attraction capability by producing and presenting research of sufficient quality and originality to be recognized at ICASSP, InterSpeech, NeurIPS, or equivalent top-tier venues
Qualifications & Requirements
Educational Requirements
- PhD in Computer Science, Electrical Engineering, or a closely related field — with a research focus specifically on speech and audio processing, demonstrating the deep domain expertise and rigorous research methodology that this senior scientist role demands
- Equivalent practical experience will also be considered — for candidates whose practical research contributions in speech and audio AI are demonstrably at PhD-equivalent depth despite a non-traditional academic path
Core Requirements
- Proven track record of research in speech or audio processing — demonstrated by peer-reviewed publications at ICASSP, InterSpeech, NeurIPS, CVPR, ECCV, or equivalent top-tier venues
- Deep expertise in ML frameworks — PyTorch or TensorFlow — and proficiency in Python, C++, or similar programming languages for speech model development
- Strong knowledge of signal processing techniques and deep learning models for speech and audio tasks
- Experience working with large-scale datasets and distributed computing systems for speech AI model training and evaluation
About Analog & Speech AI Research in Abu Dhabi 2026
Analog occupies a distinctive and philosophically compelling position in the AI landscape — building technology that is specifically designed to fade into the background of human experience rather than demanding center stage, enriching human connection and capability without replacing the essentially human experiences that give life meaning. For Speech & Language Scientists, this mission creates an extraordinarily stimulating research environment — where ASR research is not just about improving a benchmark score but about making technology accessible to people who struggle with traditional interfaces, where TTS research is about creating voices that genuinely communicate warmth and humanity, and where conversational AI research is about building systems that make people feel more connected to each other and to the services they need. In Abu Dhabi’s extraordinary AI ecosystem — surrounded by MBZUAI, TII, G42, and Analog’s cross-disciplinary collaborators in robotics, mixed reality, and systems engineering — Senior Speech Scientists at Analog have access to the research community, computational resources, and application domain diversity that makes Abu Dhabi one of the world’s most compelling destinations for speech and audio AI research in 2026.
Your Research Career Path: Senior Scientist — Speech & Language → Principal Research Scientist → AI Research Director — Speech Technology → Chief Scientist — a globally recognized, intellectually distinguished, and humanistically meaningful research career built at the frontier of speech and language AI in one of the world’s most innovative and purposeful AI research environments.
Who Should Apply?
- PhD Speech & Audio Researchers (ICASSP/InterSpeech Publications): With strong peer-reviewed publication records in ASR, TTS, speaker recognition, or audio processing who want to combine frontier research with real-world AI application impact at Analog in Abu Dhabi
- Postdoctoral Speech AI Researchers: Completing postdoctoral research in speech, audio, or language processing at leading academic institutions who want to transition into an industry research role in Abu Dhabi’s world-class AI ecosystem
- Industry Speech Scientists (ASR/TTS/NLU): With production speech AI system development experience at leading tech companies, AI labs, or specialized speech technology companies who want a research-first role in a mission-driven, human-centered AI organization
- Multilingual & Low-Resource ASR Specialists: With expertise in building ASR systems for Arabic, multilingual, or low-resource language scenarios — particularly relevant to Analog’s Abu Dhabi context and the UAE’s linguistically diverse population
- Conversational AI & NLU Researchers: With deep learning-based dialogue systems, intent recognition, or natural language understanding research experience who want to apply these capabilities in Analog’s healthcare, enterprise, and smart city AI application contexts
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