Show notes
A chat with People ops evangelist Emily WitkoIn this episode Emily discusses their role at AI startup darling, Hugging Face, and what working in a deeply technical field looks like for someone with a "non-technical" background. With a background in customer-facing roles, Emily discusses the journey of career transitions to AI and opensource.Guest Links-https://huggingface.co/chat/assistantshttps://www.linkedin.com/in/emilywitko/https://hf.co/chat/assistant/65c116edf1df938c33a1b944(un)Supervised Learning linkshttps://www.linkedin.com/company/unsupervisedlearningko-fi.com/unsupervisedlearninghttps://podcasts.apple.com/us/podcast/unsupervised-learning/id1728592020www.unsupervisedlearning.copod@unsupervisedlearning.co Sponsored by Jan https://jan.ai/Timeline00:00 Introduction and Initial Struggles00:25 Discussing Roles and Responsibilities01:08 Career Background and Transition to Tech03:04 The Journey to Understanding Technical Conversations03:24 Discovering Hugging Face and Joining the Team06:42 The Culture and Diversity at Hugging Face07:48 The Hiring Process and Job Description at Hugging Face08:39 The Role of Openness and Experimentation in Open Source10:25 The Importance of Flexibility and Confidence in Open Source15:34 The Journey to Hugging Face and the Importance of Psychological Safety22:51 The Growth and Impact of Hugging Face23:05 The Challenges and Rewards of Working in AI26:54 The Importance of Knowledge Sharing and Communication32:45 The Role of AI in Pay Equity and Inclusivity41:43 Conclusion: The Future of AI and Hugging Face
