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Machine Learning Engineer · employed per open role

Machine Learning Engineer: employed per open role

Meta maps 1939 employed Machine Learning Engineer against 4 open (484.8×). As of 2026-09-25 PT PT.

As-of 2026-09-25 PT Published by Metix AI Collection series
Open-req list

Start with hosts whose open roles were captured

Meta 484.8× (1939 employed / 4 open); NVIDIA 40.2× (201 employed / 5 open); OpenAI 7.0× (28 employed / 4 open); Google 545 employed, open roles not captured

Two shelves: Machine Learning Engineer employed versus open
Three-name comparison: not a peer-pack ladder
Employed per open role

Employed per open role, one seat

Each bar is employed divided by open roles, as of 2026-09-25 PT. A host whose open roles were not captured is listed at the bottom in grey, with no bar.

Meta NVIDIA OpenAI Google 484.8× · 1,939 / 4 40.2× · 201 / 5 7.0× · 28 / 4 545 employed · open roles not captured Machine Learning Engineer employed per open role Employed ÷ open roles; 0-open rows excluded · As of 2026-09-25 PT Machine Learning Engineer employed per open role. Meta 484.8× (1939 employed / 4 open); NVIDIA 40.2× (201 employed / 5 open); OpenAI 7.0× (28 employed / 4 open); Google 545 employed, open roles not captured. As of 2026-09-25 PT. Source: Metix AI.
Machine Learning Engineer employed per open role. Meta 484.8× (1939 employed / 4 open); NVIDIA 40.2× (201 employed / 5 open); OpenAI 7.0× (28 employed / 4 open); Google 545 employed, open roles not captured. As of 2026-09-25 PT. Source: Metix AI.
View data
CompanyEmployedOpenEmployed per open role
Meta1,9394484.8×
NVIDIA201540.2×
OpenAI2847.0×
Google5450not captured
Leading host

Meta 484.8× (1939 employed / 4 open)

The highest ratio is Meta 484.8× (1939 employed / 4 open). Employed headcount is ranked separately; the largest is Meta employed 1939, as of 2026-09-25 PT.

Meta Google NVIDIA OpenAI 0 300 600 900 1,200 1,500 1,800 2,100 1,939 545 201 28 Machine Learning Engineer employed employed · As of 2026-09-25 PT Machine Learning Engineer employed depth, largest first. Meta employed 1939; Google employed 545; NVIDIA employed 201; OpenAI employed 28. As of 2026-09-25 PT. Source: Metix AI.
Machine Learning Engineer employed depth, largest first. Meta employed 1939; Google employed 545; NVIDIA employed 201; OpenAI employed 28. As of 2026-09-25 PT. Source: Metix AI.
View data
NameValue
Meta1939
Google545
NVIDIA201
OpenAI28
HostEmployedOpen
Meta19394
NVIDIA2015
OpenAI284
Google545not captured
Open roles not captured

Open roles not captured 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.

Page type

Not a peer-pack ladder

There is no five-host peer-pack ladder here. The comparison is employed per open role on one seat.

Methodology

Employed is the current Machine Learning Engineer count, Senior included, on each company's own homepage record. Open is the active posting count for that same title family as of 2026-09-25 PT. A recorded 0 means open roles were not captured, not that demand is zero. Source: Metix AI.

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Measured hosts: Meta 484.8× (1939 employed / 4 open); NVIDIA 40.2× (201 employed / 5 open); OpenAI 7.0× (28 employed / 4 open); Google 545 employed, open roles not captured.

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FAQ

FAQ

Does a host whose open roles were not captured still get a bar?
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.
Is this the peer-pack ladder?
No. This page is employed divided by open roles for one title family. Hosts whose open roles were not captured stay off the ratio.
Which host leads employed per open role?
Meta 484.8× (1939 employed / 4 open), as of 2026-09-25 PT.
Where do the figures come from?
Employed and open cells were measured as of 2026-09-25 PT. Published by Metix AI. An unmeasured open cell is not filled in as demand. A cell recorded as 0 means open roles were not captured.
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