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Intern Researcher - Reinforcement Learning and LLM

    • Vancouver, British Columbia
  • ackvs

Job description

Our team has an immediate 12-month internship opening for an Intern Researcher.

Responsibilities:

  • Conduct cutting-edge research in large language models (LLMs), focusing on agent-building technologies.
  •  Leverage reinforcement learning techniques to enhance agent performance in specialized business applications.
  •  Design, develop and maintain research prototypes, ensuring comprehensive documentation and adherence to software development best practices.
  •  Contribute to publishing full research papers in top-tier conferences and journals.
The target annual compensation (based on 2080 hours per year) ranges from $93,000 to $104,000 depending on education, experience and demonstrated expertise


Job requirements

What you’ll bring to the team:
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, or a closely related technical field.

  • Proficient in Python programming with significant experience in model development and optimization.
  • Excellent analytical, problem-solving, and troubleshooting abilities with a focus on delivering innovative research solutions.
  •  Strong written and verbal communication skills, with the ability to collaborate effectively within a team.

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