AI Research Scientist

7 days ago


Singapore RiceBowl Full time
Job Summary:

RiceBowl is seeking a highly skilled AI Research Scientist to join our team. As a key member of our research team, you will be responsible for conducting cutting-edge research in artificial intelligence, machine learning, and related fields to advance our technological capabilities. This role involves developing innovative algorithms, experimenting with new AI techniques, and contributing to academic and industry knowledge.

Key Responsibilities:
  • Conduct advanced research in AI and machine learning, focusing on developing new algorithms, models, and techniques to solve complex problems.
  • Design, implement, and evaluate AI algorithms in areas such as natural language processing, computer vision, reinforcement learning, and deep learning.
  • Collaborate with other researchers, data scientists, and software engineers to integrate new AI technologies into our products and services.
  • Develop prototypes and proof-of-concept models that demonstrate the potential of new AI technologies.
  • Provide guidance and mentorship to junior researchers, data scientists, and machine learning engineers.
  • Work with data engineers and scientists to collect, preprocess, and analyze large datasets for AI model training and validation.
  • Develop evaluation frameworks to assess the performance and efficiency of AI models, ensuring their robustness and scalability.
Qualifications:
  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Proven research experience in AI, machine learning, or deep learning (3+ years preferred).
  • Strong publication record in AI-related conferences and journals.
  • Hands-on experience with machine learning frameworks and tools such as TensorFlow, PyTorch, or Keras.
  • Experience with algorithm development in areas like deep learning, reinforcement learning, or computer vision.
  • Proficiency in programming languages such as Python, C++, or Java.
Preferred Qualifications:
  • Post-doctoral experience or industry research experience in AI.
  • Experience in applying AI techniques in domains such as healthcare, finance, robotics, or autonomous systems.
  • Familiarity with big data frameworks.
  • Experience in reinforcement learning, generative models, or neural architecture search.

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