Career development panel: From being the only women in the room to empowering the next generation
summary
A career-panel lays out concrete routes into applied ML: one path is Stanford SCPD courses then hands‑on work at startups and later product teams, another is joining core infra like joined TensorFlow team, and another is founding a startup—founded Muse Systems—to build generative visual tools. Panelists note foundational models are ChatGPT 1M+ users and costly, predict multimodal stacks, urge investing in explainability/automation, and stress founder skills: domain expertise, storytelling, resilience, and measurable early customer wins.
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chapters (7)
- 0:00Introductions
- 1:07Career journeys in ML
- 11:11Entrepreneurial paths
- 14:21Investor perspectives
- 16:51The future of AI technology
- 20:14Managing complex programs
- 21:55Closing advice
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