Sharing my ML engineer interview experience with @ringg_ai (Funded...

(Funded voice AI company)
Base 65LPA + equity + bonus
It was an one hour interview headed by the chief AI officer and CTO in their office.
And honestly the bar couldn’t be higher.
We had a deep dive into how I reduced the p95 latency to ~800ms and then we discussed a bit on using spacy to reduce the WER (increase latency)
That time i was fine tuning qwen 3 decoder only model, but the loss wasn’t decreasing and he guided me some tricks to try.
We discussed in detail how to model credit risk and also the nitty gritty details of feature selection using PCA instead of traditional recursive elimination, isolation forest and so much more.
And we also covered a bit of GPU parallelism, more specifically FSDP2 and I coded the architecture of it.
But it was one of the many turning points of my career.
This was in Jan’26.