ML Teams and Project Management - FSDL 2022

ML Teams and Project Management - FSDL 2022

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Why managing ML products is hard

1 of 12

1 of 12

Why managing ML products is hard

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ML Teams and Project Management - FSDL 2022

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  1. 1 Why managing ML products is hard
  2. 2 Roles in ML teams: MLEs, MLRs, DSs
  3. 3 Hiring and getting hired in ML
  4. 4 Organizational archetypes: from ad hoc ML to ML-first
  5. 5 Building ML teams
  6. 6 Managing ML teams and products
  7. 7 How to manage ML projects better
  8. 8 "Managing up" in ML
  9. 9 ML PMs are well-positioned to educate the org
  10. 10 What is the "Agile for ML"?
  11. 11 Best practices for ML product design
  12. 12 Summary

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