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Hybrid Junior AI Research Scientist

SavageOne Pty Ltd  ·  nan, · Hybrid

About the job

Position Summary:The Junior AI Research Scientist will work closely with our team of senior researchers to conduct innovative research in the field of artificial intelligence. You will have the opportunity to contribute to various research projects, develop new algorithms and techniques, and collaborate with leading experts in the field. This role is ideal for a detail-oriented individual with strong analytical skills and a desire to learn and grow in a dynamic research environment.

Key Responsibilities:

  • Conduct research in artificial intelligence, focusing on areas such as machine learning, natural language processing, computer vision, or robotics.
  • Assist in the design, implementation, and evaluation of novel algorithms and techniques to address challenging research problems.
  • Collaborate with senior researchers to develop experimental methodologies and protocols for testing and evaluating research hypotheses.
  • Analyze experimental results and contribute to the interpretation and documentation of research findings.
  • Stay up-to-date with the latest developments in AI research by reading scientific papers, attending conferences, and participating in research discussions.
  • Contribute to the preparation of research papers, technical reports, and presentations for publication and dissemination.
  • Collaborate with cross-functional teams to integrate research findings into practical applications and solutions.
  • Participate in brainstorming sessions and research meetings to generate new ideas and identify potential research directions.


Qualifications:

  • Master's or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, or a related field (or equivalent experience).
  • Strong academic background in artificial intelligence, machine learning, or a related field.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Familiarity with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Excellent analytical and problem-solving skills, with a strong attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
  • Eagerness to learn and grow in a fast-paced research environment.
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