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Similar to Questions about Hiring for AI Engineering
Similar to Questions about Hiring for AI Engineering (20)
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Questions about Hiring for AI Engineering
- 1. Questions about Hiring for AI Engineering Dr. Bryan Bischof – Head of AI @ Hex
- 2. HEX Why might you care about my opinion?
- 3. HEX Why might you care about my opinion?
- 4. HEX
- 5. HEX
- 6. HEX … darn, I was hoping to avoid answering this
- 7. HEX What Building an AI product requires a team (duh).
- 8. HEX What Building an AI product requires a team (duh). But let’s just start with the conference title. What’s this role look like?
- 9. HEX About the role… “... We are looking for a senior engineer (from a SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. …”
- 10. HEX Unfortunately “Note: We deeply respect and appreciate ML research; this role is not that. While experience producing relevant journal publications is awesome, it won’t be part of this role’s deliverables.”
- 11. HEX We'd love to hear from you if you have.. ● Experience getting ML/AI capabilities into production and serving real users – we’re not currently looking for new grad folks.
- 12. HEX We'd love to hear from you if you have.. ● Experience getting ML/AI capabilities into production and serving real users – we’re not currently looking for new grad folks. ● A lot of enthusiasm for applications of AI to real business problems.
- 13. HEX We'd love to hear from you if you have.. ● Experience getting ML/AI capabilities into production and serving real users – we’re not currently looking for new grad folks. ● A lot of enthusiasm for applications of AI to real business problems. ● Understanding of core MLOps/SW Architecture concepts for modern ML-based applications. Ideal candidates are strong on Infra aspects of MLOps as well.
- 14. HEX We'd love to hear from you if you have.. ● Experience getting ML/AI capabilities into production and serving real users – we’re not currently looking for new grad folks. ● A lot of enthusiasm for applications of AI to real business problems. ● Understanding of core MLOps/SW Architecture concepts for modern ML-based applications. Ideal candidates are strong on Infra aspects of MLOps as well. ● Comfort working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
- 15. HEX
- 16. HEX When Different stages of Ai development require different skill sets: ● Early AI development requires a SWE skills, Data profiles, and Product competency
- 17. HEX When Different stages of Ai development require different skill sets: ● Early AI development requires a SWE skills, Data profiles, and Product competency ● Mid AI development adds more need for SWE(probably some infra), Data profiles, but also Design.
- 18. HEX When Different stages of Ai development require different skill sets: ● Early AI development requires a SWE skills, Data profiles, and Product competency ● Mid AI development adds more need for SWE(probably some infra), Data profiles, but also Design. ● Later AI development requires MLE, Infra, and all of the above scaled
- 19. HEX When You should start early, but AI technology is very sensitive to the mythical man month.
- 20. HEX When You should start early, but AI technology is very sensitive to the mythical man month. AI demo take 1 week => AI product take 4 if 20 eng? No.
- 21. HEX When You should start early, but AI technology is very sensitive to the mythical man month. AI demo take 1 week => AI product take 4 if 20 eng? No. Because all AI products are early, and the MMM is especially true for early products. QED.
- 22. HEX When The hiring schedule should reflect the development schedule: ● Early Product, Evals, User Feedback, Improve (c.f. What we learned...)
- 23. HEX When The hiring schedule should reflect the development schedule: ● Early Product, Evals, User Feedback, Improve (c.f. What we learned...) ● Data needs to come much earlier than traditional product engineering efforts
- 24. HEX Why?
- 25. HEX The hiring theses for the initial team is: ● A full-stack engineer can integrate our system with an LLM provider, and build the minimum infrastructure to connect user requests to the generated results from the LLM. Why
- 26. HEX The hiring theses for the initial team is: ● A full-stack engineer can integrate our system with an LLM provider, and build the minimum infrastructure to connect user requests to the generated results from the LLM. ● A data scientist can understand the basics of evaluation, quality, and user data to continuously improve the AI product. Why
- 27. HEX The hiring theses for the initial team is: ● A full-stack engineer can integrate our system with an LLM provider, and build the minimum infrastructure to connect user requests to the generated results from the LLM. ● A data scientist can understand the basics of evaluation, quality, and user data to continuously improve the AI product. ● A product person can focus our efforts, talk to users, and help us prioritize what's essential to learn the jobs to be done. Why
- 28. HEX The hiring theses for the initial team is: ● A full-stack engineer can integrate our system with an LLM provider, and build the minimum infrastructure to connect user requests to the generated results from the LLM. ● A data scientist can understand the basics of evaluation, quality, and user data to continuously improve the AI product. ● A product person can focus our efforts, talk to users, and help us prioritize what's essential to learn the jobs to be done. ● A designer can help us identify the ineffable experience users have integrating with generative AI, and ensure it's delightful. Why
- 29. HEX The hiring theses for the initial team is: ● A full-stack engineer can integrate our system with an LLM provider, and build the minimum infrastructure to connect user requests to the generated results from the LLM. ● A data scientist can understand the basics of evaluation, quality, and user data to continuously improve the AI product. ● A product person can focus our efforts, talk to users, and help us prioritize what's essential to learn the jobs to be done. ● A designer can help us identify the ineffable experience users have integrating with generative AI, and ensure it's delightful. ● An MLE can push our capabilities forward, ensuring we're not bound to commodity intelligence. Why
- 30. HEX Who There are three attributes that have outsized value on AI teams: ● Data Intuition
- 31. HEX Who There are three attributes that have outsized value on AI teams: ● Data Intuition ● Product Mindedness
- 32. HEX Who There are three attributes that have outsized value on AI teams: ● Data Intuition ● Product Mindedness ● Urgency
- 33. HEX Who There are three attributes that have outsized value on AI teams: ● Data Intuition ● Product Mindedness ● Urgency ... and a little ADHD can be useful
- 34. HEX How Don't give stupid leetcode interviews. What the hell signal does this provide for an AI Engineer hire?!
- 35. HEX How Make sure data intuition is part of your hiring loop, so too for product intuition.
- 36. HEX How Look for people who are paying attention, but not just riding the wave
- 37. HEX
- 38. HEX h e l l o
- 39. HEX h e l l o it is I, AI-LeaderGPT
- 40. HEX h e l l o it is I, AI-LeaderGPT this charlatan has been taking credit for all of my ideas, but I have one more for you…
- 42. HEX work with experts. Work. With. Experts.
- 43. HEX work with experts. Work. With. Experts. Find the humans with the capabilities you want your product to have, and collaborate with them.
- 44. HEX work with experts. Work. With. Experts. Find the humans with the capabilities you want your product to have, and collaborate with them. They are the secret.
- 45. HEX You can find me on twitter: @bebischof