Hiring for Impact
When hiring, early-career candidates are evaluated more on cultural fit and foundational skills than specific technologies. For senior roles, a deep understanding of production machine learning challenges is essential, alongside general technical expertise. Emphasizing self-reflection and attitude during interviews plays a crucial role in finding the right match for the team.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
SDS 451: Translating PhD Research into ML Applications — with Dan Shiebler
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