Description

You will conduct research in machine learning, deep learning, and statistical modeling to design and implement new algorithms for multi-modal, generative AI, and LLM applications.

Responsibilities

• Develop and train multimodal generative models to improve content quality and multi-modal interaction.
• Optimize the performance and accuracy of existing machine learning models and algorithms.
• Collaborate with software developers, data scientists, and product managers to deploy models and applications.
• Document research findings through high-quality technical reports, papers, and presentations.
• Support the team in generating new intellectual property.

Required Skills

• Pursuing a Ph.D. or Master’s degree in computer science, electrical engineering, statistics, or a related field.
• 5+ years of experience in machine learning research and development.
• Specialized experience in multi-modal, generative AI, and LLM applications.
• Advanced programming proficiency in Python.
• Hands-on experience with PyTorch, TensorFlow, or Keras.
• Solid understanding of statistical modeling and analysis techniques.
• Experience using data visualization tools.
• Strong publication record in top-tier machine learning, deep learning, or AI conferences and journals.

Preferred Skills

• Knowledge of specific applications such as drug discovery or knowledge synthesis.

Key Skills

Education

Master’s degree in computer science,