Kb Bowles

Kb Bowles

Talent | Ml, Engineering, Product @ Abridge

About Kb Bowles

Kb Bowles is a talent acquisition professional based in Pittsburgh, Pennsylvania, specializing in roles that integrate clinical experience with software engineering, machine learning, bioinformatics, and data science. Currently, Bowles works at Abridge, collaborating with the CTO and CSO to enhance the company's Machine Learning, Engineering, and Product teams.

Current Role at Abridge

Kb Bowles currently serves as Talent | ML, Engineering, Product at Abridge, a position held since 2023. In this role, Bowles focuses on talent acquisition specifically for positions that integrate clinical experience with machine learning, software engineering, bioinformatics, and data science. Bowles collaborates closely with the Chief Technology Officer and Chief Science Officer, Zack Lipton, to strengthen the Machine Learning, Engineering, and Product teams within the organization.

Previous Experience in Recruitment

Prior to joining Abridge, Kb Bowles accumulated extensive experience in recruitment across various organizations. Bowles worked as a Recruitment Manager at Aravo Solutions from 2018 to 2021, focusing on integrated risk and resilience. Bowles also held roles at Motion Recruitment, including Account Executive and Sales Team Lead, where responsibilities included IT staffing and open-source recruitment. Additionally, Bowles served as a Senior Technical Recruiter at Deepgram and as the first recruiter hire at AssemblyAI.

Educational Background

Kb Bowles earned a Bachelor of Arts degree in Psychology with a minor in Educational Studies from the University of California, Santa Barbara. This educational background was completed from 2009 to 2013. The knowledge gained during this time contributes to Bowles' understanding of human behavior and educational principles, which are beneficial in the field of talent acquisition.

Networking and Industry Engagement

Kb Bowles actively engages in networking with professionals interested in artificial intelligence and machine learning applications within healthcare. This involvement helps to foster connections and share insights about advancements in these fields, further enhancing Bowles' expertise in talent acquisition for roles that require a blend of clinical and technical skills.

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