Kim Martin
Director, Software Engineering at Indeed
Kim Martin has been a professional computer scientist for over 20 years specializing in data engineering, machine learning, distributed systems optimization and scale, and tech leadership. She has spent her career working on complex big data problems for organizations across the education, entertainment, finance, robotics, and travel domains. She’s created big data solutions, recommendation engines, and custom search applications for companies including the Department of Defense, Cubic, Avis/Budget, Eli Lilly, and HBO. Kim is ex-YouTube, ex-Google, ex-Netflix, and currently an engineering leader at Indeed.
Kim holds a BS in Mathematics from Carnegie Mellon University, a Masters in Physical Computing from New York University, and an MS in Computer Science (Machine Learning) from UMass Amherst.
Watch live: February 22 @ 10:45AM – 11:15AM CST
Hiring is a time-consuming part of a manager’s job. Hiring well is hard and impacts a company’s success. What if managers spent less time hiring really great people? This talk will explore some of the experiments and considerations at Indeed towards finding really great job applicants for any hiring manager.