Senior AI Research Scientist

1 Month ago • 5 Years + • Artificial Intelligence • Game AI

Job Summary

Job Description

This role involves leading cutting-edge AI research, developing innovative solutions, publishing in top-tier conferences, and driving the strategic direction of AI technologies. Responsibilities include advanced research in AI (ML, DL, RL, NLP), developing novel algorithms, staying updated on research trends, designing, training, and optimizing AI models for various applications (computer vision, NLP, robotics, autonomous systems), collaborating with engineers and product teams, providing technical mentorship, conducting experiments to validate models, analyzing large datasets, ensuring AI models are fair and unbiased, and addressing AI safety concerns. The position requires expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, Keras), big data processing, cloud platforms, generative AI, and strong problem-solving skills.
Must have:
  • PhD or Master's in relevant field
  • 5+ years AI research experience
  • Expertise in ML frameworks
  • Strong programming skills (Python, C++)
  • Experience with generative AI
  • Publication record in top AI conferences
Good to have:
  • Experience in multi-modal AI, robotics, or AI-powered healthcare
  • Familiarity with federated learning and AI privacy techniques
  • Understanding of AI hardware acceleration

Job Details

Job Summary:


We are seeking a highly skilled and experienced Senior AI Research Scientist to lead cutting-edge research in artificial intelligence, machine learning, and deep learning. The ideal candidate will contribute to developing innovative AI solutions, publishing in top-tier conferences, and driving the strategic direction of AI technologies within the organization.

 

1. AI Research & Development

  • Conduct advanced research in AI, including machine learning (ML), deep learning (DL), reinforcement learning (RL), and natural language processing (NLP).
  • Develop novel AI algorithms, frameworks, and methodologies to solve complex real-world problems.
  • Stay updated with the latest AI research trends and implement state-of-the-art models in projects.
  • Contribute to patents and publications in top AI conferences and journals (e.g., NeurIPS, ICML, CVPR, ICLR, ACL).

2. AI Model Development & Optimization

  • Design, train, and fine-tune AI models for various applications, such as computer vision, NLP, robotics, and autonomous systems.
  • Optimize AI models for efficiency, scalability, and deployment in real-world environments.
  • Utilize frameworks such as TensorFlow, PyTorch, and Hugging Face for AI model development.

3. Collaboration & Cross-Functional Teamwork

  • Work closely with software engineers, data scientists, and product teams to integrate AI solutions into products and services.
  • Collaborate with academic institutions and research communities to enhance AI research capabilities.
  • Provide technical mentorship to junior researchers and data scientists.

 

4. Data Analysis & Experimentation

  • Design and conduct experiments to validate AI models and evaluate their performance using metrics like accuracy, precision, recall, and F1-score
  • Analyze large datasets to derive insights and improve AI model robustness.
  • Implement A/B testing and other evaluation strategies to compare AI approaches.

5. AI Ethics & Responsible AI

  • Ensure AI models are fair, transparent, and unbiased.
  • Work on explainable AI (XAI) to enhance model interoperability and trust.
  • Address AI safety concerns and comply with AI governance and regulatory standards.



Requirements

Required Qualifications & Skills:


1. Education & Experience:
  • Ph.D. or Master’s Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • 5+ years of experience in AI research, preferably in an industrial or academic setting.

2. Technical Skills:

  • Strong programming skills in Python, C++, or Java.
  • Expertise in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.
  • Proficiency in big data processing (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
  • Experience in generative AI (e.g., transformers, diffusion models, LLMs like GPT, BERT, DALL·E).
  • Knowledge of Bayesian modelling, probabilistic inference, and reinforcement learning.

3. Research & Publications:

  • Proven track record of research papers in top AI conferences/journals.
  • Experience contributing to open-source AI projects is a plus.

4. Soft Skills:

  • Strong problem-solving and analytical thinking abilities.
  • Excellent communication and presentation skills.
  • Ability to work independently and lead AI research initiatives.

 

 

 

 

 

 

Preferred Qualifications:

  • Experience in multi-modal AI, robotics, or AI-powered healthcare.
  • Familiarity with federated learning and AI privacy techniques.
  • Understanding of AI hardware acceleration (GPUs, TPUs, edge AI).


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About The Company

Cairo, Cairo Governorate, Egypt (On-Site)

Amman, Amman Governorate, Jordan (On-Site)

Amman, Amman Governorate, Jordan (On-Site)

Cairo, Cairo Governorate, Egypt (On-Site)

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