eBay interview questions
Big tech · 2 questions reported
- junior 2
- mid 0
- senior 0
These are 2 technical questions candidates reported being asked in eBay interviews for AI engineer, ML engineer and applied AI engineer roles, each with a model answer you can say out loud in a minute or two. They cover latency & throughput and ml system design: 2 junior, 0 mid-level and 0 senior questions. Every question comes from a public interview write-up that names eBay.Updated
eBay latency, throughput and goodput questions
Model answer
Profile first. Cut padding with dynamic padding and length bucketing, batch requests, and serve through an optimized runtime with fused kernels in FP16 or INT8. If that's not enough, distill into a smaller model.
Check quality on a held-out set: accuracy and F1 overall and per slice, plus agreement with the original. Then shadow traffic.
eBay mL system design questions
Model answer
It's token classification with BIO tags for brand, model, size, colour. Titles are short and noisy, so a fine-tuned BERT-style encoder beats a CRF baseline. Normalize text, write labelling guidelines, and bootstrap labels from structured item attributes. Measure entity-level precision, recall and F1 per type, counting only exact span and type matches.
Each question comes from a public interview write-up or video that names eBay; the answers are ours. Not affiliated with eBay.