Winnie AI
About Winnie AI
Winnie AI is a Technical Talent Specialist at Cerebras Systems, where she has worked since 2021, focusing on recruiting for AI roles in cancer research and other scientific fields. With a background in talent acquisition from companies like Huawei and Eagle Professional Resources, she has extensive experience in the recruitment sector.
Work at Cerebras Systems
Winnie AI has been employed at Cerebras Systems as a Technical Talent Specialist since 2021. In this role, she manages Canadian recruitment efforts, specifically targeting the expansion of the Software and Machine Learning teams. Her responsibilities include identifying and attracting talent to support the company's initiatives in artificial intelligence, particularly in areas such as cancer research and traumatic brain injuries. Winnie is part of a team that deploys innovative AI systems within large compute environments globally.
Previous Experience in Talent Acquisition
Before joining Cerebras Systems, Winnie AI worked at Huawei as a Talent Acquisition Specialist from 2019 to 2021. In this position, she focused on recruiting skilled professionals for various roles. Prior to Huawei, she served as an IT Recruitment Specialist for the Public Sector at Eagle Professional Resources from 2017 to 2019, and as an IT Recruiter and Human Resources Coordinator at SRA Staffing from 2016 to 2017. Her early career included a role as a Recruitment and HR Assistant at Randstad in 2016.
Education and Expertise
Winnie AI holds a Bachelor of Arts (B.A.) degree in Sociology from the University of Toronto, which she completed from 2010 to 2014. She furthered her education at George Brown College, where she earned a Post-graduate certificate in Human Resources Management from 2015 to 2016. This educational background supports her expertise in talent acquisition and human resources, particularly in the technology sector.
Involvement in AI and Science Recruitment
Winnie AI is actively involved in recruiting talent for roles that contribute to advancements in artificial intelligence, especially in fields related to cancer research, traumatic brain injuries, and fundamental science concerning black holes. Her work focuses on sourcing candidates who can support innovative projects that leverage AI technology in significant scientific endeavors.