Our team has an immediate 12-month internship opening for an Intern Researcher. \n
Responsibilities: \n
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.\n
The target annual compensation (based on 2080 hours per year) ranges from $93,000 to $104,000 depending on education, experience and demonstrated expertise\n
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.\n\n","employmentType":"INTERN","hiringOrganization":{"@type":"Organization","logo":"https://careers.recruiteecdn.com/image/upload/production/images/Ak1b/uZt-2vioPmqZ.png","name":"Huawei Technologies Canada Co., Ltd."},"identifier":{"@type":"PropertyValue","name":"Huawei Technologies Canada Co., Ltd.","value":1889432},"jobLocation":[{"@type":"Place","address":{"@type":"PostalAddress","addressCountry":"CA","addressLocality":"Vancouver","addressRegion":"BC","postalCode":"V5C 6S7","streetAddress":"4321 Still Creek drive "}}],"jobLocationType":"TELECOMMUTE","title":"Intern Researcher - Reinforcement Learning and LLM","validThrough":null}
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.
