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machine learning engineering peer pack · five company records · 2026

Five Machine Learning Engineer (AI infrastructure) benches on one date: inside the 403-profile peer pack

NVIDIA leads at 250 (62.0% of the 403-person pack in the AI infrastructure cut) against Databricks at 73. As of 2026-11-13 PT.

As-of 2026-11-13 PT Published by Metix AI Collection series
How wide is the anchor-to-tail gap?

How wide is the anchor-to-tail gap?

NVIDIA at 250 against Anthropic at 20 on this seat (about 12.50×).

NVIDIA Databricks OpenAI Snowflake Anthropic 0 50 100 150 200 250 250 73 38 22 20 Machine Learning Engineer peer pack profiles · As of 2026-11-13 PT NVIDIA Databricks OpenAI Snowflake Anthropic 0 100 200 300 250 73 38 22 20 Machine Learning Engineer peer pack profiles · As of 2026-11-13 PT Machine Learning Engineer bench contrast, highest to lowest: NVIDIA 250, Databricks 73, OpenAI 38, Snowflake 22, Anthropic 20. As of 2026-11-13 PT. Source: Metix AI.
Machine Learning Engineer bench contrast, highest to lowest. As of 2026-11-13 PT. Source: Metix AI.
Data & notes
NVIDIA 250, Databricks 73, OpenAI 38, Snowflake 22, Anthropic 20.
NameValue
NVIDIA250
Databricks73
OpenAI38
Snowflake22
Anthropic20
Named list

Compare the five benches

Take the named list for the employers shown here. The request should name the same employers.

Named list

Get the named list behind these 403 Machine Learning Engineers

Take the named list for the employers shown here. Leave the companies and the spelled-out titles as they are.

Key takeaway · How to cite
How large is this peer pack?

How large is this peer pack?

403
pack total
five records added
250
NVIDIA
pack anchor
20
Anthropic
tail
0% 20% 40% 60% 80% 100% 62.0% 18.1% NVIDIA 250 (62.0%) Databricks 73 (18.1%) OpenAI 38 (9.4%) Snowflake 22 (5.5%) Anthropic 20 (5.0%) Machine Learning Engineer pack share profiles · As of 2026-11-13 PT 0% 30% 60% 90% 62.0% 18.1% NVIDIA 250 (62.0%) Databricks 73 (18.1%) OpenAI 38 (9.4%) Snowflake 22 (5.5%) Anthropic 20 (5.0%) Machine Learning Engineer pack share profiles · As of 2026-11-13 PT Machine Learning Engineer pack share of 403: NVIDIA 250 (62.0%), Databricks 73 (18.1%), OpenAI 38 (9.4%), Snowflake 22 (5.5%), Anthropic 20 (5.0%). As of 2026-11-13 PT. Source: Metix AI.
Machine Learning Engineer pack share of 403. As of 2026-11-13 PT. Source: Metix AI.
Data & notes
NVIDIA 250 (62.0%), Databricks 73 (18.1%), OpenAI 38 (9.4%), Snowflake 22 (5.5%), Anthropic 20 (5.0%).
NameValueShare
NVIDIA25062.0%
Databricks7318.1%
OpenAI389.4%
Snowflake225.5%
Anthropic205.0%
0% 20% 40% 60% 80% 100% 80.1% 14.9% NVIDIA+Databricks 323 (80.1%) OpenAI+Snowflake 60 (14.9%) Anthropic 20 (5.0%) Machine Learning Engineer concentration (top2 / mid / tail) profiles · As of 2026-11-13 PT 0% 30% 60% 90% 80.1% 14.9% NVIDIA+Databricks 323 (80.1%) OpenAI+Snowflake 60 (14.9%) Anthropic 20 (5.0%) Machine Learning Engineer concentration (top2 / mid / tail) profiles · As of 2026-11-13 PT Concentration of the 403-person Machine Learning Engineer pack: top two NVIDIA+Databricks = 323 (80.1%); mid OpenAI+Snowflake = 60 (14.9%); tail Anthropic = 20 (5.0%). As of 2026-11-13 PT. Source: Metix AI.
Concentration of the 403-person Machine Learning Engineer pack. As of 2026-11-13 PT. Source: Metix AI.
Data & notes
top two NVIDIA+Databricks = 323 (80.1%); mid OpenAI+Snowflake = 60 (14.9%); tail Anthropic = 20 (5.0%).
NameValueShare
NVIDIA+Databricks32380.1%
OpenAI+Snowflake6014.9%
Anthropic205.0%
Headcount vs share: who leads?

Absolute headcount vs share — who leads? Anchor NVIDIA

Absolute headcount and share % can diverge: who is largest versus who holds the pack.

0 50 100 150 200 250 NVIDIA Databricks OpenAI Snowflake Anthropic 250 73 38 22 20 62 18.1 9.4 5.5 5 Headcount Pack share % Machine Learning Engineer: headcount vs pack share % As of 2026-11-13 PT 0 100 200 300 NVIDIA Databric ks OpenAI Snowfla ke Anthropi c 250 73 38 22 20 62 18.1 9.4 5.5 5 Headcount Pack share % Machine Learning Engineer: headcount vs pack share % As of 2026-11-13 PT Absolute headcount beside pack share % for Machine Learning Engineer. Anchor NVIDIA 250 (62.0%); tail Anthropic 20 (5.0%). As of 2026-11-13 PT. Source: Metix AI.
Absolute headcount beside pack share % for Machine Learning Engineer. As of 2026-11-13 PT. Source: Metix AI.
Data & notes
Anchor NVIDIA 250 (62.0%); tail Anthropic 20 (5.0%).
CategoryHeadcountPack share %
NVIDIA25062
Databricks7318.1
OpenAI389.4
Snowflake225.5
Anthropic205
How to use it

What it means for Machine Learning Engineer (403) / how to use it

This week open the named-list ask on NVIDIA: 250/403 (62.0%) — the largest bench first.

What is in-scope for this seat?

What is in-scope for this seat?

As of 2026-11-13 PT · Source: Metix AI

Notes & method

Methodology

Benches are current Machine Learning Engineer headcount on each company's own record, dated 2026-11-13 PT. Records are exclusive, and the pack total adds them. The source line is Metix AI.

Aggregate report · no personal information shown · provided by Metix AI
FAQ

FAQ

Why these five companies for the NVIDIA-led Machine Learning Engineer pack (403)?
The five companies each have an exclusive homepage record, so Machine Learning Engineer can be counted. Together they are 403 current Machine Learning Engineer profiles as of 2026-11-13 PT.
Are the other titles in the Machine Learning Engineer total of 403?
No. Data Scientist and Research Scientist are outside this Machine Learning Engineer seat. As of 2026-11-13 PT, 403 is the Machine Learning Engineer sum.
Why do the two ends of the Machine Learning Engineer pack (403) differ?
250 at NVIDIA and 20 at Anthropic are the same seat. On 2026-11-13 PT the two counts share one definition.
Can this Machine Learning Engineer seat (403) be reused?
403 on 2026-11-13 PT is the published pack. A custom cut can reuse the Machine Learning Engineer phrase.

Request the machine learning engineering peer pack (five names · 403 current people)

Ask for people on the measured wires, not a broader uncut list. Keep the request inside the companies and titles already shown.

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