Start with the five-company bench contrast before outreach
PayPal 236 and Block 101 lead; five records add to 515.
Key takeaway · How to cite
From PayPal 236 down to Coinbase 38
Highest to lowest: PayPal 236, Block 101, Stripe 97, Affirm 43, Coinbase 38.

View data
| Name | Value |
|---|---|
| PayPal | 236 |
| Block | 101 |
| Stripe | 97 |
| Affirm | 43 |
| Coinbase | 38 |
Which titles stay out of the count
The seat is spelled-out Machine Learning Engineer, Senior included; Data Scientist and Research Scientist stay outside the 515.
Five exclusive company records
Each number comes from one company's own exclusive homepage record: PayPal (www.paypal.com), Block (www.block.xyz), Stripe (www.stripe.com), Affirm (www.affirm.com), Coinbase (www.coinbase.com).
Methodology
Every figure is a count of current profiles on one named company's own exclusive homepage record — PayPal, Block, Stripe, Affirm, Coinbase — never a rolled-up parent entity. The seat is spelled-out Machine Learning Engineer, with Senior counted in the same family. All numbers share one as-of date, 2026-10-15 PT. Source: Metix AI.
FAQ
- Why these five fintech companies and not other Machine Learning Engineer employers?
- Because each of the five — PayPal, Block, Stripe, Affirm, Coinbase — has its own exclusive company homepage record, so its bench can be counted directly. Together they hold 515 current Machine Learning Engineer profiles across the five exclusive company homepage records as of 2026-10-15 PT.
- Does the total of 515 include Data Scientist or Research Scientist titles?
- No. The 515 is the sum of current Machine Learning Engineer profiles on the five exclusive company homepage records (236 + 101 + 97 + 43 + 38) as of 2026-10-15 PT; Data Scientist and Research Scientist titles are counted outside this seat.
- Why does PayPal sit at 236 while Coinbase sits at 38?
- The counting rule is identical for both: current Machine Learning Engineer profiles on each company's own exclusive homepage record as of 2026-10-15 PT. PayPal's record holds 236 and Coinbase's holds 38, so the gap reflects bench depth rather than a different scope.
- Can this same Machine Learning Engineer seat cut be remade for a company outside the published 515-person pack?
- Yes. The published machine learning engineering peer pack stays fixed at 515 across the five exclusive homepage records as of 2026-10-15 PT, and the same spelled-out Machine Learning Engineer seat can be applied to another company record on request.
Request the machine learning engineering peer pack (five names · 515 current people)
The same methodology can export mapped current Machine Learning Engineer profiles at PayPal, Block, Stripe, Affirm, Coinbase, or rerun a custom peer pack on your target companies.
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