Doctoral Fellow in Large Language Models

Responsibilities:

• Drive cutting-edge research on Large Language Models (LLMs), with a focus on:
  • Enhancing LLM performance and efficiency through innovative techniques.
  • Pioneering the application of LLMs to novel tasks and domains, including agentic AI and complex problem-solving.
  • Developing methods for mitigating risks and biases, ensuring ethical and responsible AI development.
  • Exploring Multimodal topic modeling to enhance our understanding of customer feedback.
  • Investigating higher reasoning with Large Language models to improve our product.
• Translate advanced research into practical applications within the early stages of our product development lifecycle.
• Contribute to the academic community by publishing research findings in top-tier conferences and journals.
• Foster strong collaborations with researchers at our partner universities and our engineering team.

Qualifications:

• Master's degree (or higher) in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field.
• Proficient in Python and/or other relevant programming languages.
• Solid foundation in machine learning and NLP principles.
• Proven experience with large-scale data processing and machine learning frameworks.
• Demonstrate ability to conduct research and publish papers in leading academic conferences and journals.
• Exceptional communication and interpersonal skills.
• Experience with building agentic AI systems.
• Experience with multimodal AI.

Bonus Points:

• Hands-on experience with LLMs, including fine-tuning and deployment.
• Familiarity with cloud computing platforms (AWS, Azure, GCP).
• Experience with continuous integration and continuous delivery (CI/CD) pipelines.
• Experience in topic modeling.

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