Amjad Almahairi
About Amjad Almahairi
Amjad Almahairi is a research scientist with extensive experience in artificial intelligence and deep learning, currently working at Anyscale since 2024. He has held positions at notable organizations such as Meta AI, Element AI, and Microsoft, and has a strong academic background with a PhD from Université de Montréal.
Current Role at Anyscale
Amjad Almahairi serves as a Research Scientist at Anyscale, a position he has held since 2024. His work is based in the San Francisco Bay Area, where he operates in a hybrid work environment. In this role, he focuses on advancing research initiatives within the organization.
Previous Experience at Element AI
Prior to his current position, Amjad worked at Element AI as a Research Scientist from 2018 to 2020. During his tenure in the Montreal, Canada Area, he contributed to various research projects aimed at developing artificial intelligence solutions.
Experience at Meta AI
Amjad was employed at Meta AI as a Research Scientist from 2020 to 2023. His role involved conducting research in the field of artificial intelligence, contributing to the company's innovative projects and initiatives.
Educational Background
Amjad Almahairi has a strong academic foundation in computer science and artificial intelligence. He earned his Doctor of Philosophy (PhD) in Deep Learning from Université de Montréal, completing his studies from 2013 to 2018. He also holds a Master of Science (MSc) in Computer Science from McGill University, which he obtained between 2009 and 2011. His undergraduate studies were completed at Damascus University, where he received a Bachelor of Engineering (BEng) in Informatics and Artificial Intelligence from 2003 to 2008.
Research and Teaching Experience
Amjad has extensive experience in research and teaching roles. He worked as a Graduate Research Assistant and Teaching Assistant at McGill University from 2010 to 2011. Additionally, he held the position of NLU Research Engineer at Nuance Communications from 2011 to 2013, and he was a PhD candidate at the Montreal Institute for Learning Algorithms (MILA) from 2013 to 2018.