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Title

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AI Research Scientist

Description

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We are looking for an AI Research Scientist to join our cutting-edge research team focused on developing innovative artificial intelligence solutions. As an AI Research Scientist, you will be responsible for designing, implementing, and evaluating novel machine learning models and algorithms. You will work closely with other researchers, engineers, and product teams to translate theoretical advances into practical applications that solve real-world problems. In this role, you will explore new frontiers in deep learning, reinforcement learning, natural language processing, computer vision, and other AI subfields. You will be expected to publish in top-tier conferences and journals, contribute to open-source projects, and stay current with the latest developments in AI research. Your work will directly impact the development of intelligent systems that improve user experiences, automate complex tasks, and drive business innovation. The ideal candidate has a strong background in computer science, mathematics, or a related field, with a Ph.D. or equivalent research experience. You should have a proven track record of research excellence, including publications in peer-reviewed venues. Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow or PyTorch are essential. This is a unique opportunity to be part of a dynamic and collaborative environment where your contributions will shape the future of AI. If you are passionate about pushing the boundaries of what machines can learn and do, we encourage you to apply.

Responsibilities

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  • Conduct original research in artificial intelligence and machine learning
  • Develop and implement novel algorithms and models
  • Collaborate with cross-functional teams to integrate research into products
  • Publish research findings in top-tier conferences and journals
  • Stay up-to-date with the latest advancements in AI
  • Contribute to open-source AI projects
  • Design experiments to evaluate model performance
  • Mentor junior researchers and interns
  • Present research internally and externally
  • Translate theoretical research into practical applications

Requirements

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  • Ph.D. in Computer Science, Mathematics, or related field
  • Strong publication record in AI or machine learning
  • Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch)
  • Deep understanding of machine learning algorithms and theory
  • Experience with large-scale data processing
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to work independently and collaboratively
  • Familiarity with cloud computing platforms is a plus
  • Passion for innovation and continuous learning

Potential interview questions

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  • Can you describe a recent research project you led?
  • What AI subfields are you most passionate about?
  • How do you stay current with AI research trends?
  • Have you published in any top-tier conferences or journals?
  • What programming languages and tools do you use regularly?
  • Describe a time you translated research into a product feature.
  • How do you approach debugging complex models?
  • What is your experience with open-source contributions?
  • Have you mentored junior researchers before?
  • What motivates you to work in AI research?