ai researcher

Lucidya

<div><p>Lucidya is looking for a passionate and innovative AI Researcher to join our dynamic team. In this role, you will be responsible for conducting cutting-edge research in artificial intelligence and machine learning, contributing to the development of intelligent systems that can solve complex problems and enhance our products.</p><p>
As an AI Researcher, you will analyze existing AI technologies, propose novel solutions and methodologies, and collaborate with cross-functional teams to implement your research findings. Your work will involve experimenting with algorithms, training models, and validating results to push the boundaries of what AI can achieve in various industries.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><ul>
<li>Conduct research on advanced AI and machine learning techniques to drive innovation.</li>
<li>Experiment with various algorithms and methodologies to improve the performance of AI models.</li>
<li>Analyze large datasets to derive insights and inform research directions.</li>
<li>Collaborate with software engineering teams to implement AI solutions in products.</li>
<li>Stay updated on the latest advancements in AI and machine learning.</li>
<li>Document and present research findings clearly for internal and external stakeholders.</li>
<li>Contribute to publications and participate in conferences to share findings.</li>
</ul><p><b>Requirements</b></p><ul>
<li><b>Education:</b></li>
<li><ul><li>A Master&rsquo;s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li>
</ul></li><li><b>Experience:</b></li>
<li><ul><li>2+ years of experience in AI research or a related domain.</li>
<li>Familiarity with AI/machine learning frameworks such as TensorFlow or PyTorch.</li>
<li>Demonstrated experience in data analysis and statistical methods.</li>
</ul></li><li><b>Technical Skills:</b></li>
<li><ul><li>Proficient programming skills in Python and experience in data manipulation.</li>
<li>Knowledge of machine learning algorithms and practices.</li>
</ul></li><li><b>Soft Skills:</b></li>
<li><ul><li>Strong analytical and problem-solving abilities.</li>
<li>Good communication skills to present research findings effectively.</li>
<li>Ability to work cooperatively in a team-oriented environment.</li>
</ul></li></ul><p><b>Benefits</b></p><h3 class="jobSectionHeader"><b>
Why Join Us?</b></h3><p>
This is more than just an engineering role, it&rsquo;s an opportunity to <b>shape the infrastructure and technical future of Lucidya</b>. You&rsquo;ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.</p><p>
We offer <b>Employee Stock Option Plans (ESOP)</b> to give you ownership in the company&rsquo;s success, along with <b>performance-based bonuses</b> to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</p></div>

AI Researcher

Lucidya | لوسيديا

<div>
 Lucidya is looking for a passionate and innovative AI Researcher to join our dynamic team. In this role, you will be responsible for conducting cutting-edge research in artificial intelligence and machine learning, contributing to the development of intelligent systems that can solve complex problems and enhance our products.
 <br/>
 <br/>
 As an AI Researcher, you will analyze existing AI technologies, propose novel solutions and methodologies, and collaborate with cross-functional teams to implement your research findings. Your work will involve experimenting with algorithms, training models, and validating results to push the boundaries of what AI can achieve in various industries.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Conduct research on advanced AI and machine learning techniques to drive innovation
  </li>
  <li>
   Experiment with various algorithms and methodologies to improve the performance of AI models
  </li>
  <li>
   Analyze large datasets to derive insights and inform research directions
  </li>
  <li>
   Collaborate with software engineering teams to implement AI solutions in products
  </li>
  <li>
   Stay updated on the latest advancements in AI and machine learning
  </li>
  <li>
   Document and present research findings clearly for internal and external stakeholders
  </li>
  <li>
   Contribute to publications and participate in conferences to share findings
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Education:
  </li>
  <ul>
   <li>
    A Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
   </li>
  </ul>
  <li>
   Experience:
  </li>
  <ul>
   <li>
    2+ years of experience in AI research or a related domain
   </li>
   <li>
    Familiarity with AI/machine learning frameworks such as TensorFlow or PyTorch
   </li>
   <li>
    Demonstrated experience in data analysis and statistical methods
   </li>
  </ul>
  <li>
   Technical Skills:
  </li>
  <ul>
   <li>
    Proficient programming skills in Python and experience in data manipulation
   </li>
   <li>
    Knowledge of machine learning algorithms and practices
   </li>
  </ul>
  <li>
   Soft Skills:
  </li>
  <ul>
   <li>
    Strong analytical and problem-solving abilities
   </li>
   <li>
    Good communication skills to present research findings effectively
   </li>
   <li>
    Ability to work cooperatively in a team-oriented environment
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Why Join Us?
   <br/>
   <br/>
  </strong>
 </strong>
 This is more than just an engineering role, it's an opportunity to
 <strong>
  shape the infrastructure and technical future of Lucidya
 </strong>
 . You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
 <br/>
 <br/>
 We offer
 <strong>
  Employee Stock Option Plans (ESOP)
 </strong>
 to give you ownership in the company's success, along with
 <strong>
  performance-based bonuses
 </strong>
 to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.
</div>


Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit is hiring a Principal AI Researcher to join the Intuit Research team.</div><div></div><div><br>
The mission of the AI Research team is to do cutting edge research in AI topics that directly influence Intuit&rsquo;s portfolio of fintech offerings and position Intuit as a global leader in AI with the goal of powering prosperity around the world. In this role you will be advancing the state of the art in fundamentals of artificial intelligence. We are seeking candidates who are experts in generative AI, fundamentals of deep learning and optimization, and passionate about areas such as neuro-symbolic AI, personalization and recommendation, theory and applications of large language models, and robustness and uncertainty quantification. You will join a high-caliber team of domain experts, data scientists, and machine learning engineers to shape our strategy in this area, and develop advanced capabilities that serve our customers&rsquo; needs, both current and future.</div><p><b><br>
Responsibilities</b></p><br>
<div></div><ul><li>
Technical leadership in areas of Language Agents, Neuro Symbolic AI, Multimodal and Large Language Models, Natural Language Processing, Deep Learning, and Machine Learning.</li><li>
Pushing boundaries of AI native fintech applications through innovation and partnership.</li><li>
Engaging with the academic and broader research community through publications, presentations, and collaborations.</li><li>
Working towards long-term ambitious research goals that are in alignment with Intuit products, while identifying intermediate milestones</li><li>
Working with a cross-functional team of designers, program managers, researchers, legal experts and more, to create new capabilities for current and future products</li><li>
Mentoring junior researchers and interns through goal setting and technical directions that lead to positive outcomes<br>
Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.</li></ul><div></div><p><b><br>
Qualifications</b></p><br>
<div></div><ul><li>
PhD in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field with focus on AI/ML</li><li>
10+ years of relevant work experience post PhD</li><li>
Past experience leading a research or applied research team</li><li>
Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, KDD, ACL, AAAI)</li><li>
10+ years experience in conducting theoretical or applied research with demonstrated capability of defining and driving research projects</li><li>
Past experience in disseminating new technical ideas to the larger scientific community through open sourcing, publications, and presentations</li><li>
Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks</li><li>
Deep technical expertise in machine learning in general, along with hands-on experience in either deep NLP architectures, neuro-symbolic AI, or robust and/or explainable AI</li><li>
Excited about the future of Money, Payments, FinTech, and the transformation these technologies will drive
</li><li>Strong interpersonal and communication skills in order to effectively communicate and/or collaborate with other team members as well as product technologists and other stakeholders</li><li>
Excellent leadership and communication skills to influence teams and to evangelize research solutions across the company</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
<br>
Bay Area California $232,000 - 313,500</p></div>

Principal Research Scientist

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit is hiring a Senior Staff AI Researcher to join the Intuit Research team.</div><div></div><div><br>
The mission of the AI Research team is to do cutting edge research in AI topics that directly influence Intuit&rsquo;s portfolio of fintech offerings and position Intuit as a global leader in AI with the goal of powering prosperity around the world. In this role you will be advancing the state of the art in fundamentals of artificial intelligence. We are seeking candidates who are experts in generative AI, fundamentals of deep learning and optimization, and passionate about areas such as neuro-symbolic AI, personalization and recommendation, theory and applications of large language models, and robustness and uncertainty quantification. You will join a high-caliber team of domain experts, data scientists, and machine learning engineers to shape our strategy in this area, and develop advanced capabilities that serve our customers&rsquo; needs, both current and future.</div><p><b><br>
Responsibilities</b></p><ul><li>
Technical leadership in areas of Language Agents, Neuro Symbolic AI, Multimodal and Large Language Models, Natural Language Processing, Deep Learning, and Machine Learning.</li><li>
Pushing boundaries of AI native fintech applications through innovation and partnership.</li><li>
Engaging with the academic and broader research community through publications, presentations, and collaborations.</li><li>
Working towards long-term ambitious research goals that are in alignment with Intuit products, while identifying intermediate milestones</li><li>
Working with a cross-functional team of designers, program managers, researchers, legal experts and more, to create new capabilities for current and future products</li><li>
Mentoring junior researchers and interns through goal setting and technical directions that lead to positive outcomes</li></ul><div></div><p><b><br>
Qualifications</b></p><ul><li>
PhD in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field with focus on AI/ML</li><li>
8+ years of relevant work experience post PhD</li><li>
Past experience leading a research or applied research team</li><li>
Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, KDD, ACL, AAAI)</li><li>
10+ years experience in conducting theoretical or applied research with demonstrated capability of defining and driving research projects</li><li>
Past experience in disseminating new technical ideas to the larger scientific community through open sourcing, publications, and presentations</li><li>
Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks</li><li>
Deep technical expertise in machine learning in general, along with hands-on experience in either deep NLP architectures, neuro-symbolic AI, or robust and/or explainable AI</li><li>
Excited about the future of Money, Payments, FinTech, and the transformation these technologies will drive
</li><li>Strong interpersonal and communication skills in order to effectively communicate and/or collaborate with other team members as well as product technologists and other stakeholders</li><li>
Excellent leadership and communication skills to influence teams and to evangelize research solutions across the company</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><p></p><div><br>
Bay Area California: 222,000 - 300,000</div></div><div></div>

Senior Staff Research Scientist

United Arab Emirates University

Job Description
<br><br>
The Big Data Analytics Center (BIDAC) at the United Arab Emirates University (UAEU) is seeking an outstanding Postdoctoral Researcher to join its growing team focused on Artificial Intelligence, Natural Language Processing (NLP), and Large Language Model (LLM) research and deployment. The selected candidate will contribute to high-impact research and applied projects aimed at developing domain-specific, efficient, and explainable LLMs tailored to the UAE’s strategic sectors such as education, healthcare, and digital government. Working within one of the UAE’s leading AI research centers, the Postdoc will have access to state-of-the-art computing infrastructure, a multidisciplinary research environment, and collaboration opportunities with national and international partners. This position is ideal for researchers who wish to advance the frontier of AI and NLP and translate research into real-world, deployable systems that drive digital transformation in the region. Key Responsibilities: • Conduct cutting-edge research in machine learning, NLP, and LLM optimization (fine-tuning, distillation, quantization). • Develop and evaluate novel architectures, hybrid AI approaches, and explainable NLP systems. • Design and implement retrieval-augmented generation (RAG) and knowledge graph-enhanced LLM frameworks. • Collaborate with faculty, data engineers, and PhD/MSc students on research projects and publications. • Publish high-quality papers in top-tier journals and conferences (e.g., NeurIPS, KDD, etc.). • Support AI infrastructure setup, including GPU-based servers, data pipelines, and MLOps workflows. • Contribute to grant writing, proposal preparation, and project documentation. • Mentor junior researchers and contribute to training workshops or short courses.
<br><br>
Minimum Qualification
<br><br>
<ul>
<li>PhD in Computer Science, Artificial Intelligence, Data Science, or a closely related field. • Demonstrated research experience in machine learning, NLP, or deep learning. • Strong publication record in recognized AI/ML/NLP venues. • Proficiency in Python and major ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers). • Solid understanding of transformer architectures, embeddings, and attention mechanisms. • Experience with data preprocessing, model training, and evaluation for text and multimodal datasets.</li>
</ul>
Preferred Qualification
<br><br>
<ul>
<li>Prior experience in LLM deployment on-premise or in secure, private environments. • Experience with multilingual NLP, especially Arabic-English or low-resource language modeling. • Proven track record of open-source contributions, patents, or applied AI projects. • Background in knowledge graphs, semantic search, or hybrid symbolic-neural AI. • Experience with cloud or HPC systems for large-scale model training (e.g., NVIDIA DGX, multi-GPU clusters). • Exposure to prompt engineering, RLHF (Reinforcement Learning from Human Feedback), or evaluation of generative AI systems.</li>
</ul>
Close Date Kindly apply before the closing date.
<br><br>
31/12/2025

Postdoctoral Fellow

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