The role involves researching, developing, and deploying generative AI software test tools for the quality assurance (QA) team. It focuses on building automated tools that enhance the efficiency of QA procedures. Collaboration with the QA and product teams will take place to incorporate AI's influence on the QA landscape. The position encourages original research and tool development within the quality domain.
Required Qualifications and Skills
A bachelor's degree in computer science or an equivalent combination of education, training, and experience is required for the role. Candidates need at least one year of experience in finetuning AI systems and working with large language models, along with familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or Keras. Excellent programming skills in Python and a strong command of algorithms and data structures are necessary. Familiarity with computer vision is considered a plus.
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About the company
Size
753
HQ
Mountain View, US
Description
The Samsung AI Research Center (SAIC) in Toronto is a critical component of Samsung's global AI Research efforts, which aim to conduct long-term research with significant potential impact on future Samsung products. Located in the vibrant AI community of Toronto, near the University of Toronto, SAIC-Toronto strives for innovation in highly visible, challenging, and interdisciplinary projects. As part of Samsung's wider AI research initiative that spans across various centers worldwide, including in Cambridge, Moscow, Mountain View, and Korea, the Toronto center contributes to reaching hundreds of millions of users worldwide with its research outcomes. SAIC-Toronto endeavors to stay at the forefront of AI research, benefiting from its strategic location and collaborative environment.
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