Apple AI/ML
Folks from the AI ML Org at Apple. Could you please provide some insights into it, I will be joining the org in May as a data engineer. Thanks! TC: 26k
Who’s is your director?
Insights… the priority is to make sure external users get proper experiences (mostly). Quality of internal tools is bad; you’ll spend most of your time trying to use other team’s broken tools or supporting users trying to use your team’s broken tools instead of spending time on the actual work you’re supposed to accomplish. Each quarter your team is committed to create new tools or add new features to existing tools so that the work to add new features for external users can get done. Work to fix broken tools is never prioritized due to limited capacity. All work gets pushed top down. No manager in the chain from top management to you will push back but distribute the work within their team pretending all engs are 10x engs (i.e., optimistic). There is no consistency between teams. Some of them have much better eng practices than others (if any at all). Quality of engs varies a lot (even at the same level). Quality of hires within the last 2 years is not bad but the average is significantly lower for earlier hires and obviously you’ll need to learn to identify them and set expectations accordingly. If you manage not to care/worry about these issues and just do what you can in your 40hrs/week then you’ll enjoy it.
Thanks so much for your response, this is very helpful. I will be joining the MLPT team. Could you please tell me more about that?
“No manager in the chain from top management to you will push back but distribute the work within their team pretending all engs are 10x engs (i.e., optimistic). “ Does it mean engineers will be super busy?
Avoid!
Why?
Why?