Emma Willis
About Emma Willis
Emma Willis is an Interview Engineer at Karat, specializing in enhancing hiring practices and conducting software role interviews. She has a background in software development and machine learning research, with experience at companies like Ford, Amazon, and Nokia.
Work at Karat
Emma Willis has been employed at Karat as an Interview Engineer since 2022. In this role, she conducts interviews for various software positions, assessing candidates' technical skills and providing detailed reports on their expertise and areas for improvement. Her work contributes to enhancing hiring best practices within the tech industry.
Current Role at Taplytics
Emma Willis has been working as a Software Engineer at Taplytics since 2021. In this position, she engages in software development projects, applying her technical skills to contribute to the company's products and services. Her experience in the software engineering field supports her role in developing innovative solutions.
Previous Experience at Amazon and Ford
Before her current roles, Emma Willis worked at Amazon as a Software Development Engineer I from 2019 to 2021. She also gained early experience as a Student Software Developer at Ford Motor Company in 2017 for a brief period of three months. These positions provided her with foundational skills in software development and engineering.
Education and Expertise
Emma Willis earned a Bachelor of Science (B.Sc.) degree in Computer Science from Western University, where she studied from 2015 to 2019. Her academic background laid the groundwork for her expertise in software engineering and machine learning, further enhanced by her involvement in award-winning research with Lawson Imaging.
Community Involvement and Consulting
In addition to her engineering roles, Emma Willis participates in community efforts aimed at improving hiring practices in the tech industry. She also works as a hiring consultant, assisting companies in identifying and onboarding top programming talent, leveraging her experience in interviews and technical assessments.