Data & notes
| Company | Employed | Open | Employed per open role |
|---|---|---|---|
| Meta | 1,939 | 4 | 484.8× |
| NVIDIA | 201 | 5 | 40.2× |
| OpenAI | 28 | 4 | 7.0× |
| 545 | 0 | not captured |
Read the multiple first
A named list can follow this page once the scope is right. Name the same employers and experience cut this page measured.
Key takeaway · How to cite
Does NVIDIA still post the most open Machine Learning Engineer roles at 5?
Start with where demand sits, as of 2026-09-25 PT.
Data & notes
| Name | Value | Share |
|---|---|---|
| NVIDIA | 5 | 38.5% |
| Meta | 4 | 30.8% |
| OpenAI | 4 | 30.8% |
Is the employed-per-open lead still Meta at 484.8× (1,939/4)?
The highest ratio is Meta 484.8× (1,939 employed / 4 open). The ratio chart above ranks every host.
| Host | Employed | Open |
|---|---|---|
| Meta | 1,939 | 4 (low open-role count — ratio is volatile) |
| NVIDIA | 201 | 5 (low open-role count — ratio is volatile) |
| OpenAI | 28 | 4 (low open-role count — ratio is volatile) |
| 545 | not captured |
Get the named Machine Learning Engineer list behind this table
Ask for the named list when this scope matches the search. The request should name the same employers.
Who holds the deepest bench? Meta at 1,939
Employed headcount ranked on its own; Meta is largest.
Data & notes
| Name | Value |
|---|---|
| Meta | 1,939 |
| 545 | |
| NVIDIA | 201 |
| OpenAI | 28 |
Do ratio lead and bench lead still both sit at Meta?
The two rankings can diverge: bench volume and door density are different decisions.
Data & notes
| Category | Employed | Open roles |
|---|---|---|
| Meta | 1,939 | 4 |
| NVIDIA | 201 | 5 |
| OpenAI | 28 | 4 |
| 545 | 0 |
What it means for Machine Learning Engineer employed vs open: what to do this week / how to use it
For door density this week: prefer the Meta multiple at 484.8× (1,939 employed / 4 open).
- For bench volume: prefer the Meta pool of 1,939 employed.
- For live reqs: prefer NVIDIA's 5 captured open roles.
- Meta, NVIDIA, OpenAI: low open-role count — ratio is volatile; do not brief off the multiple alone.
Do hosts without captured opens (e.g. Google 545/0) still stay off the ratio?
Open roles were not captured at Google. Those hosts are listed in grey, with the employed count and no bar, and they are excluded from employed per open role.
There is no five-host peer-pack ladder here: the comparison is employed per open role on one seat.
Data & notes
| Category | KEEP Machine Learning Engineer | OUT Senior Machine Learning Engineer | OUT ML Engineer | OUT AI Engineer | OUT Research Engineer |
|---|---|---|---|---|---|
| Meta | 2,207 | 425 | 2,207 | 91 | 461 |
Data & notes
| Category | Freeze shelf | Wave43 re-check |
|---|---|---|
| Meta Machine Learning Engineer | 1,939 | 2,207 |
Which LinkedIn titles collide into Machine Learning Engineer?
This page's employed cell anchors on spelled-out Machine Learning Engineer. Wave43 re-checks adjacent titles at Meta.
- As of 2026-11-04 PT, Meta current title Machine Learning Engineer is 2,207 (Wave43 re-check; page shelf stays freeze 1,939).
- Same day Meta Senior Machine Learning Engineer 425; ML Engineer 2,207; AI Engineer 91; Research Engineer 461 — none rewrite this page's 484.8× hook.
- Lists order against freeze employed Meta 1,939 / 484.8×; abbreviated ML Engineer is not a Machine Learning Engineer stand-in.
Where do Machine Learning Engineers sit by country?
Split the top-three hosts (Meta+NVIDIA+OpenAI) by address.country.
- As of 2026-11-04 PT, Machine Learning Engineer at top-three hosts by country (≥1 person): United States 2,039, United Kingdom 209, Israel 60, Canada 55, India 31.
- Lead country is United States 2,039; United States 2,039 and India 31 are both sourcing primaries.
- Lists order against the freeze employed shelf; country cells are a sourcing map, not a 484.8× rewrite.
Is the shelf anchor still stable? Wave43 re-check on Meta
Freeze shelf Meta 1,939 (2026-09-25 PT). Wave43 same-cut re-check is 2,207 — direction unchanged; page hook stays locked to 484.8× = 1,939/4.
- Wave43 re-check Meta Machine Learning Engineer = 2,207 (2026-11-04 PT).
- List buyers still order against freeze Meta 1,939 and 484.8×; the re-check is stability evidence only.
- If you need a today snapshot list, note the Wave43 as-of in the list ask.
As of 2026-09-25 PT · Source: Metix AI
Notes & method
Methodology
Employed is the current Machine Learning Engineer count on each company's own homepage record, as of 2026-09-25 PT. The open cell counts postings still open for this title family. An open cell of 0 is uncaptured, not a claim of no demand. Source: Metix AI.
FAQ
- Does an uncaptured Machine Learning Engineer host get a bar?
- A host is on the Machine Learning Engineer chart only when open roles were captured. A recorded 0 means not captured, not zero demand.
- Is the Machine Learning Engineer page a peer-pack ladder?
- It is an employed-per-open reading for Machine Learning Engineer, not a five-company ladder. No bar means that host was not captured.
- Who leads the Machine Learning Engineer multiple?
- Lead with Meta 484.8× (1,939 employed / 4 open) when you name the top multiple. The measurement date is 2026-09-25 PT.
- Where do the Machine Learning Engineer figures come from?
- Both cells share the measurement date 2026-09-25 PT. Published by Metix AI.
Request the Machine Learning Engineer open-req list
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