Research Scientist

Job brief

Responsibilities

• Conduct cutting-edge research in the field of AI, focusing on areas such as machine learning, deep learning, natural language processing, computer vision, or robotics.
• Design and develop innovative algorithms, models, and methodologies to address complex AI challenges and improve the performance of AI systems.
• Collaborate with cross-functional teams to define research objectives, explore new research directions, and translate research findings into practical solutions.
• Stay updated with the latest advancements in AI research, attending conferences, reading scientific papers, and participating in research communities.
• Collect and analyze large datasets, leveraging statistical and computational techniques to derive meaningful insights and support research objectives.
• Implement and evaluate algorithms and models using programming languages and tools commonly used in AI research, such as Python, TensorFlow, or PyTorch.
• Document research findings, write scientific papers, and contribute to the publication of research results in reputable conferences and journals.
• Collaborate with engineers and developers to integrate research outcomes into production systems or prototypes.
• Assist in mentoring and guiding junior researchers or team members, providing technical expertise and guidance on research projects.
• Continuously explore opportunities for technology transfer, patent applications, or collaborations with academia and industry partners.

Requirements

• PhD in Computer Science, Artificial Intelligence, or a related field. Candidates with a strong research background and a Master’s degree may also be considered.
• Proven track record of conducting impactful research in AI, as demonstrated by publications in reputable conferences or journals.
• Expertise in one or more AI subfields, such as machine learning, deep learning, natural language processing, computer vision, or robotics.
• Proficiency in programming languages commonly used in AI research, such as Python or MATLAB.
• Solid understanding of mathematical foundations and statistical techniques relevant to AI research.
• Experience with popular AI frameworks and tools, such as TensorFlow, PyTorch, or Caffe.
• Strong analytical and problem-solving skills to design and evaluate complex algorithms and models.
• Ability to work independently and collaboratively in a research team, with effective communication and interpersonal skills.
• Strong publication record in AI-related conferences or journals.
• Passion for pushing the boundaries of AI research and applying it to real-world problems.