Ali Mollahosseini

Ali Mollahosseini is an experienced technology professional with a strong background in machine learning, natural language processing, and engineering management. He has held several prominent positions in leading tech companies and has a robust academic background.

Professional Experience

Current Position: Ali Mollahosseini currently serves as an Applied Science Manager at Amazon, a role he began in July 2023.1 This position is based in Seattle, Washington, and marks a recent move in his career.2

Twitter Career: Prior to his current role, Mollahosseini had a significant tenure at Twitter:

• Engineering Manager (June 2020 - January 2023)

  • Managed the NLP Signal team
  • Focused on understanding textual content of Tweets for improved conversations, relevance, and monetization
  • Led ML projects and cross-functional collaborations1

• Senior Machine Learning Engineer (May 2017 - June 2020)

  • Tech Lead of Content Understanding and Applied Deep Learning (CUAD) team
  • Established sprint planning processes
  • Led efforts in named entity compliance and extraction
  • Collaborated on content signals for ads prediction
  • Researched and designed an entity resolution system1

Education

Mollahosseini holds a strong academic background:

• Ph.D. in Computer Software Engineering from the University of Denver (2013-2017)
• M.S. in Computer Software Engineering from Amirkabir University of Technology (2007-2010)
• B.S. in Computer Software Engineering from Iran University of Science and Technology (2002-2006)1

Research and Internships

Throughout his career, Mollahosseini has engaged in various research and internship roles:

• Research Assistant at the University of Denver (2013-2017)
• Software/Research Intern at Twitter (2016)
• Research Intern at Google (2015)
• Research Assistant at Universidade do Algarve (2010-2013)1

Ali Mollahosseini's career demonstrates a strong focus on machine learning, natural language processing, and engineering management, with significant contributions to both academic research and industry applications.